Radiology

1. Dai N, Tang X, Hu Y, Lu H, Chen Z, Duan S, Guo W, Edavi PP, Yu Y, Huang D, Qian J. SARS-CoV-2 infection association with atherosclerotic plaque progression at coronary CT angiography and adverse cardiovascular events. Radiology. 2025 Feb 4;314(2):e240876. link 

2. Mantz L, Mercaldo ND, Simon J, Kaess P, Yang K, Dietrich AS, Tonnesen PE, Troschel AS, Marquardt JP, Sehi DA, Javidan C. Preoperative Chest CT Myosteatosis Indicates Worse Postoperative Survival in Stage 0–IIB Non–Small Cell Lung Cancer. Radiology. 2025 Feb 11;314(2):e240282. link 

3. Rodriguez-Takeuchi S, Tullis E, Babaei Jandaghi A, Yan AT, Colak E, Hall DA, Wong KC, Jiménez-Juan L, McIntyre K, Sykes J, Deva DP. Association between Cystic Fibrosis and Pericardial Calcification Detected at Chest CT in Adults. Radiology. 2025 Feb 25;314(2):e241793. link 

4. Weir-McCall JR, Fitton CA, Gandy SJ, Lambert M, Littleford R, Houston JG, Belch JJ. Sex-specific associations between left ventricular remodeling at MRI and long-term cardiovascular risk. Radiology. 2024 Nov 5;313(2):e232997. link 

5. Prinster D, Mahmood A, Saria S, Jeudy J, Lin CT, Yi PH, Huang CM. Care to explain? AI explanation types differentially impact chest radiograph diagnostic performance and physician trust in AI. Radiology. 2024 Nov 19;313(2):e233261. link 

6. Sprague BL, Ichikawa L, Eavey J, Lowry KP, Rauscher GH, O’Meara ES, Miglioretti DL, Lee JM, Stout NK, Herschorn SD, Perry H. Performance of supplemental US screening in women with dense breasts and varying breast cancer risk: results from the Breast Cancer Surveillance Consortium. Radiology. 2024 Aug 6;312(2):e232380. link 

7. van der Waal D, van Landsveld-Verhoeven C, Tetteroo E, van Engen RE, Sechopoulos I, Pijnappel RM, Broeders MJ. Pain Experience and Image Quality with Curved versus Standard Compression for Breast Cancer Screening Mammography: A Randomized Controlled Trial. Radiology. 2024 Aug 20;312(2):e232680. link 

8. Nanaa M, Gupta VO, Hickman SE, Allajbeu I, Payne NR, Arponen O, Black R, Huang Y, Priest AN, Gilbert FJ. Accuracy of an artificial intelligence system for interval breast cancer detection at screening mammography. Radiology. 2024 Aug 27;312(2):e232303. link 

9. Grodecki K, Olasińska-Wiśniewska A, Cyran A, Urbanowicz T, Kwieciński J, Geers J, Tamarappoo BK, Perek B, Gocoł R, Nawara-Skipirzepa J, Jemielity M. Quantification of aortic valve fibrotic and calcific tissue from CTA: prospective comparison with histology. Radiology. 2024 Aug 13;312(2):e240229. link 

10. Soschynski M, Storelli R, Birkemeyer C, Hagar MT, Faby S, Schwemmer C, Nous FM, Pugliese F, Vliegenthart R, Schlett CL, Nikolaou K. CT myocardial perfusion and CT-FFR versus invasive FFR for hemodynamic relevance of coronary artery disease. Radiology. 2024 Aug 20;312(2):e233234. link 

11. Chang Y, Yoon SH, Kwon R, Kang J, Kim YH, Kim JM, Chung HJ, Choi J, Jung HS, Lim GY, Ahn J. Automated comprehensive CT assessment of the risk of diabetes and associated cardiometabolic conditions. Radiology. 2024 Aug 6;312(2):e233410. link 

12. Adams LC, Truhn D, Busch F, Dorfner F, Nawabi J, Makowski MR, Bressem KK. Llama 3 challenges proprietary state-of-the-art large language models in radiology board–style examination questions. Radiology. 2024 Aug 13;312(2):e241191. link 

13. Doo FX, Savani D, Kanhere A, Carlos RC, Joshi A, Yi PH, Parekh VS. Optimal large language model characteristics to balance accuracy and energy use for sustainable medical applications. Radiology. 2024 Aug 27;312(2):e240320. link 

14. Miao G, Liu L, Liu J, Zeng M. Arterial mucosal linear enhancement at contrast-enhanced MRI to exclude residual tumor after neoadjuvant chemotherapy and radiation therapy for rectal cancer. Radiology. 2024 Aug 13;312(2):e232713. link 

15. Sugimoto K, Moriyasu F, Dioguardi Burgio M, Vilgrain V, Jesper D, Strobel D, Blank V, Karlas T, Grant EG, Kelahan LC, Gabriel H. US markers and necroinflammation, steatosis, and fibrosis in metabolic dysfunction–associated steatotic liver disease: the iLEAD study. Radiology. 2024 Aug 20;312(2):e233377. link 

16. Cai J, Vonder M, Pelgrim GJ, Rook M, Kramer G, Groen HJ, de Bock GH, Vliegenthart R. Distribution of Solid Lung Nodules Presence and Size by Age and Sex in a Northern European Nonsmoking Population. Radiology. 2024 Aug 13;312(2):e231436. link 

17. Plesner LL, Müller FC, Brejnebøl MW, Krag CH, Laustrup LC, Rasmussen F, Nielsen OW, Boesen M, Andersen MB. Using AI to identify unremarkable chest radiographs for automatic reporting. Radiology. 2024 Aug 20;312(2):e240272. link 

18. Misera L, Müller-Franzes G, Truhn D, Kather JN. Weakly supervised deep learning in radiology. Radiology. 2024 Jul 23;312(1):e232085. link 

19. Ha SM, Jang MJ, Youn I, Yoen H, Ji H, Lee SH, Yi A, Chang JM. Screening outcomes of mammography with AI in dense breasts: a comparative study with supplemental screening US. Radiology. 2024 Jul 23;312(1):e233391. link 

20. Jögi A, Johnson K, Wittgren S, Sundgren V, Tomic H, Olinder J, Åkesson A, Andersson I, Zackrisson S, Bakic PR. Assessing digital breast tomosynthesis impact on early cancer detection: insights from consecutive screening. Radiology. 2024 Jul 30;312(1):e233417. link 

21. Zhang K, Khosravi B, Vahdati S, Erickson BJ. FDA review of radiologic AI algorithms: process and challenges. Radiology. 2024 Jan 2;310(1):e230242. link 

22. Koetzier LR, Wu J, Mastrodicasa D, Lutz A, Chung M, Koszek WA, Pratap J, Chaudhari AS, Rajpurkar P, Lungren MP, Willemink MJ. Generating synthetic data for medical imaging. Radiology. 2024 Sep 10;312(3):e232471. link 

23. Marcinkiewicz AM, Buchwald M, Shanbhag A, Bednarski BP, Killekar A, Miller RJ, Builoff V, Lemley M, Berman DS, Dey D, Slomka PJ. AI for multistructure incidental findings and mortality prediction at chest CT in lung cancer screening. Radiology. 2024 Sep 17;312(3):e240541. link 

24. Sverzellati N, Milanese G, Ryerson CJ, Hatabu H, Walsh SL, Papapietro VR, Gazzani SE, Bacchini E, Specchia F, Marrocchio C, Milone F. Interstitial Lung Abnormalities on Unselected Abdominal and Thoracoabdominal CT Scans in 21 118 Patients. Radiology. 2024 Nov 19;313(2):e233374. link 

25. Bhatt SP, Nakhmani A, Sthanam V, Kizhakke Puliyakote A, Reinhardt JM, Bodduluri S. PiSlope: a new CT metric for quantifying airway remodeling in chronic obstructive pulmonary disease. Radiology. 2024 Nov 26;313(2):e240717. link 

26. Zhong D, Sidorenkov G, Jacobs C, de Jong PA, Gietema HA, Stadhouders R, Nackaerts K, Aerts JG, Prokop M, Groen HJ, de Bock GH. Lung Nodule Management in Low-Dose CT Screening for Lung Cancer: Lessons from the NELSON Trial. Radiology. 2024 Oct 22;313(1):e240535. link 

27. Nissan N, Comstock CE, Sevilimedu V, Gluskin J, Mango VL, Hughes M, Ochoa-Albiztegui RE, Sung JS, Jochelson MS. Diagnostic accuracy of screening contrast-enhanced mammography for women with extremely dense breasts at increased risk of breast cancer. Radiology. 2024 Oct 1;313(1):e232580. link 

28. Gommers JJ, Verboom SD, Duvivier KM, van Rooden JK, van Raamt AF, Houwers JB, Naafs DB, Duijm LE, Abbey CK, Webster MA, Broeders MJ. Enhancing radiologist reading performance by ordering screening mammograms based on characteristics that promote visual adaptation. Radiology. 2024 Oct 8;313(1):e240237. link 

29. Guo B, Xing W, Hu C, Zha Y, Yin X, He Y, Hu S, Shi Y, Lv F, Wang R, Li X. Clinical effectiveness of automated coronary CT-derived fractional flow reserve: A Chinese randomized controlled trial. Radiology. 2024 Oct 15;313(1):e233354. link 

30. Bhayana R, Fawzy A, Deng Y, Bleakney RR, Krishna S. Retrieval-augmented generation for large language models in radiology: another leap forward in board examination performance. Radiology. 2024 Oct 8;313(1):e241489. link 

31. Sun SH, Huynh K, Cortes G, Hill R, Tran J, Yeh L, Ngo AL, Houshyar R, Yaghmai V, Tran M. Testing the ability and limitations of ChatGPT to generate differential diagnoses from transcribed radiologic findings. Radiology. 2024 Oct 15;313(1):e232346. link 

32. Yun JK, Kim JY, Ahn Y, Kim MY, Lee GD, Choi S, Kim YH, Kim DK, Park SI, Kim HR. Predicting Recurrence after Sublobar Resection in Patients with Lung Adenocarcinoma Using Preoperative Chest CT Scans. Radiology. 2024 Oct 29;313(1):e233244. link 

33. Hata A, Aoyagi K, Hino T, Kawagishi M, Wada N, Song J, Wang X, Valtchinov VI, Nishino M, Muraguchi Y, Nakatsugawa M. Automated interstitial lung abnormality probability prediction at CT: a stepwise machine learning approach in the Boston Lung Cancer Study. Radiology. 2024 Sep 3;312(3):e233435. link 

34. Brunet J, Cook AC, Walsh CL, Cranley J, Tafforeau P, Engel K, Arthurs O, Berruyer C, Burke O’Leary E, Bellier A, Torii R. Multidimensional analysis of the adult human heart in health and disease using hierarchical phase-contrast tomography. Radiology. 2024 Jul 16;312(1):e232731. link 

35. Abdollahi A, Kato Y, Bakhshi H, Varadarajan V, Chehab O, Zeitoun R, Ostovaneh MR, Wu CO, Bertoni AG, Shah SJ, Ambale-Venkatesh B. Differential stroke volume between left and right ventricles as a predictor of clinical outcomes: The MESA study. Radiology. 2024 Jul 23;312(1):e232973. link 

36. Suh PS, Shim WH, Suh CH, Heo H, Park CR, Eom HJ, Park KJ, Choe J, Kim PH, Park HJ, Ahn Y. Comparing diagnostic accuracy of radiologists versus GPT-4V and Gemini Pro Vision using image inputs from diagnosis please cases. Radiology. 2024 Jul 9;312(1):e240273. link 

37. Rosenkrantz AB, Cummings RW. Radiologist workforce attrition from 2019 to 2024: a national Medicare analysis. Radiology. 2024 Jul 23;312(1):e240632. link 

38. Tejani AS, Cook TS, Hussain M, Sippel Schmidt T, O’Donnell KP. Integrating and adopting AI in the radiology workflow: a primer for standards and integrating the healthcare enterprise (IHE) profiles. Radiology. 2024 Jun 18;311(3):e232653. link 

39. Lauritzen AD, Lillholm M, Lynge E, Nielsen M, Karssemeijer N, Vejborg I. Early indicators of the impact of using AI in mammography screening for breast cancer. Radiology. 2024 Jun 4;311(3):e232479. link 

40. Bhayana R, Nanda B, Dehkharghanian T, Deng Y, Bhambra N, Elias G, Datta D, Kambadakone A, Shwaartz CG, Moulton CA, Henault D. Large language models for automated synoptic reports and resectability categorization in pancreatic cancer. Radiology. 2024 Jun 18;311(3):e233117. link 

41. Lin C, Tsai DJ, Wang CC, Chao YP, Huang JW, Lin CS, Fang WH. Osteoporotic Precise Screening Using Chest Radiography and Artificial Neural Network: The OPSCAN Randomized Controlled Trial. Radiology. 2024 Jun 25;311(3):e231937. link 

42. Dudurych I, Pelgrim GJ, Sidorenkov G, Garcia-Uceda A, Petersen J, Slebos DJ, de Bock GH, van den Berge M, de Bruijne M, Vliegenthart R. Low-dose CT–derived bronchial parameters in individuals with healthy lungs. Radiology. 2024 Jun 25;311(3):e232677. link 

43. Garzelli L, Dufay R, Tual A, Corcos O, Cazals-Hatem D, Vilgrain V, Nuzzo A, Ben Abdallah I, Ronot M. Predictors of Survival without Intestinal Resection after First-Line Endovascular revascularization in patients with Acute arterial mesenteric ischemia. Radiology. 2024 Jun 11;311(3):e230830. link 

44. Nguyen DL, Ren Y, Jones TM, Thomas SM, Lo JY, Grimm LJ. Patient characteristics impact performance of AI algorithm in interpreting negative screening digital breast tomosynthesis studies. Radiology. 2024 May 21;311(2):e232286. link 

45. Zhou Y, Ong H, Kennedy P, Wu CC, Kazam J, Hentel K, Flanders A, Shih G, Peng Y. Evaluating GPT-4V (GPT-4 with vision) on detection of radiologic findings on chest radiographs. Radiology. 2024 May 7;311(2):e233270. link 

46. Krishna S, Bhambra N, Bleakney R, Bhayana R. Evaluation of reliability, repeatability, robustness, and confidence of GPT-3.5 and GPT-4 on a radiology board–style examination. Radiology. 2024 May 21;311(2):e232715. link 

47. Dai C, Xiong Y, Zhu P, Yao L, Lin J, Yao J, Zhang X, Huang R, Wang R, Hou J, Wang K. Deep learning assessment of small renal masses at contrast-enhanced multiphase CT. Radiology. 2024 May 14;311(2):e232178. link 

48. Na KJ, Kim YT, Goo JM, Kim H. Clinical utility of a CT-based AI prognostic model for segmentectomy in non–small cell lung cancer. Radiology. 2024 Apr 16;311(1):e231793. link 

49. Choi B, Díaz AA, San José Estépar R, Enzer N, Castro V, Han MK, Washko GR, San José Estépar R, Ash SY, COPDGene Study. Association of Acute Respiratory Disease Events with Quantitative Interstitial Abnormality Progression at CT in Individuals with a History of Smoking. Radiology. 2024 Apr 30;311(1):e231801. link 

50. Pan Z, Hu G, Zhu Z, Tan W, Han W, Zhou Z, Song W, Yu Y, Song L, Jin Z. Predicting invasiveness of lung adenocarcinoma at chest CT with deep learning ternary classification models. Radiology. 2024 Apr 9;311(1):e232057. link 

51. Liu Y, Sorkhei M, Dembrower K, Azizpour H, Strand F, Smith K. Use of an AI score combining cancer signs, masking, and risk to select patients for supplemental breast cancer screening. Radiology. 2024 Apr 9;311(1):e232535. link 

52. Berg WA, Berg JM, Bandos AI, Vargo A, Chough DM, Lu AH, Ganott MA, Kelly AE, Nair BE, Hartman JY, Waheed U. Addition of contrast-enhanced mammography to tomosynthesis for breast cancer detection in women with a personal history of breast cancer: prospective TOCEM trial interim analysis. Radiology. 2024 Apr 30;311(1):e231991. link 

53. Aung N, Bartoli A, Rauseo E, Cortaredona S, Sanghvi MM, Fournel J, Ghattas B, Khanji MY, Petersen SE, Jacquier A. Left ventricular trabeculations at cardiac MRI: reference ranges and association with cardiovascular risk factors in UK Biobank. Radiology. 2024 Apr 2;311(1):e232455. link 

54. Cozzi A, Pinker K, Hidber A, Zhang T, Bonomo L, Lo Gullo R, Christianson B, Curti M, Rizzo S, Del Grande F, Mann RM. BI-RADS category assignments by GPT-3.5, GPT-4, and Google Bard: a multilanguage study. Radiology. 2024 Apr 30;311(1):e232133. link 

55. McCollough CH, Rajiah P, Bois JP, Winfree TN, Carter RE, Rajendran K, Williamson EE, Thorne JE, Leng S. Comparison of photon-counting detector and energy-integrating detector CT for visual estimation of coronary percent luminal stenosis. Radiology. 2023 Dec 5;309(3):e230853. link 

56. Bernhard B, Leib Z, Dobner S, Demirel C, Caobelli F, Rominger A, Schütze J, Grogg H, Alwan L, Spano G, Boscolo Berto M. Routine 4D cardiac CT to identify concomitant transthyretin amyloid cardiomyopathy in older adults with severe aortic stenosis. Radiology. 2023 Dec 12;309(3):e230425. link 

57. Bennani S, Regnard NE, Ventre J, Lassalle L, Nguyen T, Ducarouge A, Dargent L, Guillo E, Gouhier E, Zaimi SH, Canniff E. Using AI to improve radiologist performance in detection of abnormalities on chest radiographs. Radiology. 2023 Dec 12;309(3):e230860. link 

58. Lyu J, Fu Y, Yang M, Xiong Y, Duan Q, Duan C, Wang X, Xing X, Zhang D, Lin J, Luo C. Generative adversarial network–based noncontrast CT angiography for aorta and carotid arteries. Radiology. 2023 Nov 14;309(2):e230681. link 

59. Bachina P, Garin SP, Kulkarni P, Kanhere A, Sulam J, Parekh VS, Yi PH. Coarse race and ethnicity labels mask granular underdiagnosis disparities in deep learning models for chest radiograph diagnosis. Radiology. 2023 Nov 7;309(2):e231693. link 

60. Arponen O, Ikonen JN, Kajantie E, Eriksson JG, Haapanen MJ. Frailty in late midlife to old age and its relationship to medical imaging use and imaging-related costs: a longitudinal study. Radiology. 2023 Nov 21;309(2):e230283. link 

61. Henschke CI, Yip R, Shaham D, Markowitz S, Cervera Deval J, Zulueta JJ, Seijo LM, Aylesworth C, Klingler K, Andaz S, Chin C. A 20-year follow-up of the international early lung cancer action program (I-ELCAP). Radiology. 2023 Nov 7;309(2):e231988. link 

62. Hickman SE, Payne NR, Black RT, Huang Y, Priest AN, Hudson S, Kasmai B, Juette A, Nanaa M, Aniq MI, Sienko A. Mammography breast cancer screening triage using deep learning: a UK retrospective study. Radiology. 2023 Nov 21;309(2):e231173. link 

63. Zhou Z, Gao Y, Zhang W, Zhang N, Wang H, Wang R, Gao Z, Huang X, Zhou S, Dai X, Yang G. Deep learning–based prediction of percutaneous recanalization in chronic total occlusion using coronary CT angiography. Radiology. 2023 Nov 14;309(2):e231149. link 

64. Guo B, Xing W, Hu C, Zha Y, Yin X, He Y, Hu S, Shi Y, Lv F, Wang R, Li X. Clinical effectiveness of automated coronary CT-derived fractional flow reserve: a Chinese randomized controlled trial. Radiology. 2024 Oct 15;313(1):e233354. link 

65. Bhayana R, Fawzy A, Deng Y, Bleakney RR, Krishna S. Retrieval-augmented generation for large language models in radiology: another leap forward in board examination performance. Radiology. 2024 Oct 8;313(1):e241489. link 

66. Sun SH, Huynh K, Cortes G, Hill R, Tran J, Yeh L, Ngo AL, Houshyar R, Yaghmai V, Tran M. Testing the ability and limitations of ChatGPT to generate differential diagnoses from transcribed radiologic findings. Radiology. 2024 Oct 15;313(1):e232346. link 

67. Yun JK, Kim JY, Ahn Y, Kim MY, Lee GD, Choi S, Kim YH, Kim DK, Park SI, Kim HR. Predicting Recurrence after Sublobar Resection in Patients with Lung Adenocarcinoma Using Preoperative Chest CT Scans. Radiology. 2024 Oct 29;313(1):e233244. link 

68. Hata A, Aoyagi K, Hino T, Kawagishi M, Wada N, Song J, Wang X, Valtchinov VI, Nishino M, Muraguchi Y, Nakatsugawa M. Automated interstitial lung abnormality probability prediction at CT: A Stepwise machine learning approach in the Boston lung Cancer study. Radiology. 2024 Sep 3;312(3):e233435. link 

69. Mantz L, Mercaldo ND, Simon J, Kaess P, Yang K, Dietrich AS, Tonnesen PE, Troschel AS, Marquardt JP, Sehi DA, Javidan C. Preoperative Chest CT Myosteatosis Indicates Worse Postoperative Survival in Stage 0–IIB Non–Small Cell Lung Cancer. Radiology. 2025 Feb 11;314(2):e240282. link 

70. Rodriguez-Takeuchi S, Tullis E, Babaei Jandaghi A, Yan AT, Colak E, Hall DA, Wong KC, Jiménez-Juan L, McIntyre K, Sykes J, Deva DP. Association between Cystic Fibrosis and Pericardial Calcification Detected at Chest CT in Adults. Radiology. 2025 Feb 25;314(2):e241793. link 

71. Weir-McCall JR, Fitton CA, Gandy SJ, Lambert M, Littleford R, Houston JG, Belch JJ. Sex-specific associations between left ventricular remodeling at MRI and long-term cardiovascular risk. Radiology. 2024 Nov 5;313(2):e232997. link 

72. Prinster D, Mahmood A, Saria S, Jeudy J, Lin CT, Yi PH, Huang CM. Care to explain? AI explanation types differentially impact chest radiograph diagnostic performance and physician trust in AI. Radiology. 2024 Nov 19;313(2):e233261. link 

73. Dai N, Tang X, Hu Y, Lu H, Chen Z, Duan S, Guo W, Edavi PP, Yu Y, Huang D, Qian J. SARS-CoV-2 infection association with atherosclerotic plaque progression at coronary CT angiography and adverse cardiovascular events. Radiology. 2025 Feb 4;314(2):e240876. link 

74. Langenbach IL, Hadzic I, Zeleznik R, Langenbach MC, Maintz D, Mayrhofer T, Lu MT, Aerts HJ, Foldyna B. Association of epicardial adipose tissue changes on serial chest CT scans with mortality: insights from the national lung screening trial. Radiology. 2025 Feb 18;314(2):e240473. link 

75. Bhayana R, Alwahbi O, Ladak AM, Deng Y, Basso Dias A, Elbanna K, Abreu Gomez J, Jajodia A, Jhaveri K, Johnson S, Kajal D. Leveraging large language models to generate clinical histories for oncologic imaging requisitions. Radiology. 2025 Feb 4;314(2):e242134. link 

76. Akinci D’Antonoli T, Berger LK, Indrakanti AK, Vishwanathan N, Weiss J, Jung M, Berkarda Z, Rau A, Reisert M, Küstner T, Walter A. Totalsegmentator mri: Robust sequence-independent segmentation of multiple anatomic structures in mri. Radiology. 2025 Feb 18;314(2):e241613. link 

77. Steinhelfer L, Jungmann F, Nickel M, Kaissis G, Hofer ML, Tauber R, Schmaderer C, Rauscher I, Haller B, Makowski MR, Eiber M. Automated CT Measurement of Total Kidney Volume for Predicting Renal Function Decline after 177Lu Prostate-specific Membrane Antigen–I&T Radioligand Therapy. Radiology. 2025 Feb 25;314(2):e240427. link 

78. Marinescu DC, Hague CJ, Muller NL, Murphy D, Churg A, Wright JL, Al-Arnawoot A, Bilawich AM, Bourgouin P, Cox G, Durand C. CT Honeycombing and Traction Bronchiectasis Extent Independently Predict Survival across Fibrotic Interstitial Lung Disease Subtypes. Radiology. 2025 Feb 4;314(2):e241001. link 

79. Baffour FI, Huber NR, Ferrero A, Rajendran K, Glazebrook KN, Larson NB, Kumar S, Cook JM, Leng S, Shanblatt ER, McCollough CH. Photon-counting detector CT with deep learning noise reduction to detect multiple myeloma. Radiology. 2023 Jan;306(1):229-36. link 

80. Chen PT, Wu T, Wang P, Chang D, Liu KL, Wu MS, Roth HR, Lee PC, Liao WC, Wang W. Pancreatic cancer detection on CT scans with deep learning: a nationwide population-based study. Radiology. 2023 Jan;306(1):172-82. link 

81. Bian Y, Zheng Z, Fang X, Jiang H, Zhu M, Yu J, Zhao H, Zhang L, Yao J, Lu L, Lu J. Artificial intelligence to predict lymph node metastasis at CT in pancreatic ductal adenocarcinoma. Radiology. 2023 Jan;306(1):160-9. link 

82. Park HJ, Shin K, You MW, Kyung SG, Kim SY, Park SH, Byun JH, Kim N, Kim HJ. Deep learning–based detection of solid and cystic pancreatic neoplasms at contrast-enhanced CT. Radiology. 2023 Jan;306(1):140-9. link 

83. Kazemzadeh S, Yu J, Jamshy S, Pilgrim R, Nabulsi Z, Chen C, Beladia N, Lau C, McKinney SM, Hughes T, Kiraly AP. Deep learning detection of active pulmonary tuberculosis at chest radiography matched the clinical performance of radiologists. Radiology. 2023 Jan;306(1):124-37. link 

84. Figliozzi S, Georgiopoulos G, Lopes PM, Bauer KB, Moura-Ferreira S, Tondi L, Mushtaq S, Censi S, Pavon AG, Bassi I, Servato ML. Myocardial fibrosis at cardiac MRI helps predict adverse clinical outcome in patients with mitral valve prolapse. Radiology. 2023 Jan;306(1):112-21. link 

85. Kolossváry M, Raghu VK, Nagurney JT, Hoffmann U, Lu MT. Deep learning analysis of chest radiographs to triage patients with acute chest pain syndrome. Radiology. 2023 Jan 17;306(2):e221926. link 

86. Lee JE, Chae KJ, Suh YJ, Jeong WG, Lee T, Kim YH, Jin GY, Jeong YJ. Prevalence and long-term outcomes of CT interstitial lung abnormalities in a health screening cohort. Radiology. 2022 Oct 11;306(2):e221172. link 

87. Beheshtian E, Putman K, Santomartino SM, Parekh VS, Yi PH. Generalizability and bias in a deep learning pediatric bone age prediction model using hand radiographs. Radiology. 2022 Sep 27;306(2):e220505. link 

88. Robinson-Weiss C, Patel J, Bizzo BC, Glazer DI, Bridge CP, Andriole KP, Dabiri B, Chin JK, Dreyer K, Kalpathy-Cramer J, Mayo-Smith WW. Machine learning for adrenal gland segmentation and classification of normal and adrenal masses at CT. Radiology. 2022 Sep 20;306(2):e220101. link 

89. Lee MH, Zea R, Garrett JW, Graffy PM, Summers RM, Pickhardt PJ. Abdominal CT body composition thresholds using automated AI tools for predicting 10-year adverse outcomes. Radiology. 2022 Sep 27;306(2):e220574. link 

90. Wang L, Wang Y, Wang J, Xiao M, Xi XY, Chen BX, Su Y, Zhang Y, Xie B, Dong Z, Zhao S. Myocardial activity at 18F-FAPI PET/CT and risk for sudden cardiac death in hypertrophic cardiomyopathy. Radiology. 2022 Oct 11;306(2):e221052. link 

91. Mauger CA, Gilbert K, Suinesiaputra A, Bluemke DA, Wu CO, Lima JA, Young AA, Ambale-Venkatesh B. Multi-ethnic study of atherosclerosis: relationship between left ventricular shape at cardiac MRI and 10-year outcomes. Radiology. 2022 Sep 20;306(2):e220122. link 

92. Dodd JD, Leipsic JA. Evolving developments in cardiac CT. Radiology. 2023 Mar 28;307(3):e222827. link 

93. Rajiah PS, François CJ, Leiner T. Cardiac MRI: state of the art. Radiology. 2023 Apr 11;307(3):e223008. link 

94. Müller-Franzes G, Huck L, Tayebi Arasteh S, Khader F, Han T, Schulz V, Dethlefsen E, Kather JN, Nebelung S, Nolte T, Kuhl C. Using machine learning to reduce the need for contrast agents in breast MRI through synthetic images. Radiology. 2023 Mar 21;307(3):e222211. link 

95. Li Y, Xu Y, Li W, Guo J, Wan K, Wang J, Xu Z, Han Y, Sun J, Chen Y. Cardiac MRI to predict sudden cardiac death risk in dilated cardiomyopathy. Radiology. 2023 Mar 14;307(3):e222552. link 

96. Ghanbari F, Joyce T, Lorenzoni V, Guaricci AI, Pavon AG, Fusini L, Andreini D, Rabbat MG, Aquaro GD, Abete R, Bogaert J. AI cardiac MRI scar analysis aids prediction of major arrhythmic events in the multicenter DERIVATE registry. Radiology. 2023 Mar 21;307(3):e222239. link 

97. Plesner LL, Müller FC, Nybing JD, Laustrup LC, Rasmussen F, Nielsen OW, Boesen M, Andersen MB. Autonomous chest radiograph reporting using AI: estimation of clinical impact. Radiology. 2023 Mar 7;307(3):e222268. link 

98. Park S, Lee SM, Choe J, Choi S, Do KH, Seo JB. Recurrence patterns and patient outcomes in resected lung adenocarcinoma differ according to ground-glass opacity at CT. Radiology. 2023 Mar 21;307(3):e222422. link 

99. Chen Q, Pan T, Wang YN, Schoepf UJ, Bidwell SL, Qiao H, Feng Y, Xu C, Xu H, Xie G, Gao X. A coronary CT angiography radiomics model to identify vulnerable plaque and predict cardiovascular events. Radiology. 2023 Feb 14;307(2):e221693. link 

100. Aitken M, Davidson M, Chan MV, Urzua Fresno C, Vasquez LI, Huo YR, McAllister BJ, Broncano J, Thavendiranathan P, McInnes MD, Iwanochko MR. Prognostic value of cardiac MRI and FDG PET in cardiac sarcoidosis: a systematic review and meta-analysis. Radiology. 2023 Feb 21;307(2):e222483. link 

101. Wang C, Huang Y, Liu C, Liu F, Hu X, Kuang X, An W, Liu C, Liu Y, Liu S, He R. Diagnosis of clinically significant portal hypertension using CT-and MRI-based vascular model. Radiology. 2023 Jan 31;307(2):e221648. link 

102. Johnson PM, Lin DJ, Zbontar J, Zitnick CL, Sriram A, Muckley M, Babb JS, Kline M, Ciavarra G, Alaia E, Samim M. Deep learning reconstruction enables prospectively accelerated clinical knee MRI. Radiology. 2023 Jan 17;307(2):e220425. link 

103. Jones BC, Lee H, Cheng CC, Al Mukaddam M, Song HK, Snyder PJ, Kamona N, Rajapakse CS, Wehrli FW. MRI quantification of cortical bone porosity, mineralization, and morphologic structure in postmenopausal osteoporosis. Radiology. 2023 Jan 24;307(2):e221810. link 

104. Nam JG, Hwang EJ, Kim J, Park N, Lee EH, Kim HJ, Nam M, Lee JH, Park CM, Goo JM. AI improves nodule detection on chest radiographs in a health screening population: a randomized controlled trial. Radiology. 2023 Feb 7;307(2):e221894. link 

105. Park H, Yun J, Lee SM, Hwang HJ, Seo JB, Jung YJ, Hwang J, Lee SH, Lee SW, Kim N. Deep learning–based approach to predict pulmonary function at chest CT. Radiology. 2023 Feb 14;307(2):e221488. link 

106. Han X, Chen L, Fan Y, Alwalid O, Jia X, Zheng Y, Liu J, Li Y, Cao Y, Gu J, Liu J. Longitudinal assessment of chest CT findings and pulmonary function after COVID-19 infection. Radiology. 2023 Feb 14;307(2):e222888. link 

107. Khader F, Han T, Müller-Franzes G, Huck L, Schad P, Keil S, Barzakova E, Schulze-Hagen M, Pedersoli F, Schulz V, Zimmermann M. Artificial intelligence for clinical interpretation of bedside chest radiographs. Radiology. 2022 Dec 6;307(1):e220510. link 

108. Gidwani M, Chang K, Patel JB, Hoebel KV, Ahmed SR, Singh P, Fuller CD, Kalpathy-Cramer J. Inconsistent partitioning and unproductive feature associations yield idealized radiomic models. Radiology. 2022 Dec 20;307(1):e220715. link 

109. Kim H, Jin KN, Yoo SJ, Lee CH, Lee SM, Hong H, Witanto JN, Yoon SH. Deep learning for estimating lung capacity on chest radiographs predicts survival in idiopathic pulmonary fibrosis. Radiology. 2022 Oct 25;306(3):e220292. link 

110. Li S, Wang Y, Yang W, Zhou D, Zhuang B, Xu J, He J, Yin G, Fan X, Wu W, Sharma P. Cardiac MRI risk stratification for dilated cardiomyopathy with left ventricular ejection fraction of 35% or higher. Radiology. 2022 Nov 1;306(3):e213059. link 

111. Li M, Ling R, Yu L, Yang W, Chen Z, Wu D, Zhang J. Deep learning segmentation and reconstruction for CT of chronic total coronary occlusion. Radiology. 2022 Oct 25;306(3):e221393. link 

112. Kidoh M, Oda S, Takashio S, Hirakawa K, Kawano Y, Shiraishi S, Hayashi H, Nakaura T, Nagayama Y, Funama Y, Ueda M. CT extracellular volume fraction versus myocardium-to-lumen signal ratio for cardiac amyloidosis. Radiology. 2022 Oct 18;306(3):e220542. link 

113. Barros V, Tlusty T, Barkan E, Hexter E, Gruen D, Guindy M, Rosen-Zvi M. Virtual biopsy by using artificial intelligence–based multimodal modeling of binational mammography data. Radiology. 2022 Oct 25;306(3):e220027. link 

114. Acciavatti RJ, Lee SH, Reig B, Moy L, Conant EF, Kontos D, Moon WK. Beyond breast density: risk measures for breast cancer in multiple imaging modalities. Radiology. 2023 Feb 7;306(3):e222575. link 

115. Koetzier LR, Mastrodicasa D, Szczykutowicz TP, van der Werf NR, Wang AS, Sandfort V, van der Molen AJ, Fleischmann D, Willemink MJ. Deep learning image reconstruction for CT: technical principles and clinical prospects. Radiology. 2023 Jan 31;306(3):e221257. link 

116. Calle-Toro J, Viteri B, Ballester L, García-Perdomo HA, White A, Pradhan M, Otero HJ. Risk of acute kidney injury following contrast-enhanced CT in a cohort of 10 407 children and adolescents. Radiology. 2022 Dec 6;307(1):e210816. link 

117. Hanneman K, Houbois C, Kei T, Gustafson D, Thampinathan B, Sooriyakanthan M, Fish JE, Howe KL, Cheung AM, Wintersperger BJ, Gold WL. Multimodality cardiac imaging, cardiac symptoms, and clinical outcomes in patients who recovered from mild COVID-19. Radiology. 2023 Jul 11;308(1):e230767. link 

118. Longuefosse A, Raoult J, Benlala I, Denis de Senneville B, Benkert T, Macey J, Bui S, Berger P, Ferretti G, Gaubert JY, Liberge R. Generating high-resolution synthetic CT from lung MRI with ultrashort echo times: initial evaluation in cystic fibrosis. Radiology. 2023 Jul 5;308(1):e230052. link 

119. Xu K, Khan MS, Li TZ, Gao R, Terry JG, Huo Y, Lasko TA, Carr JJ, Maldonado F, Landman BA, Sandler KL. AI body composition in lung cancer screening: added value beyond lung cancer detection. Radiology. 2023 Jul 25;308(1):e222937. link 

120. Arasu VA, Habel LA, Achacoso NS, Buist DS, Cord JB, Esserman LJ, Hylton NM, Glymour MM, Kornak J, Kushi LH, Lewis DA. Comparison of mammography AI algorithms with a clinical risk model for 5-year breast cancer risk prediction: an observational study. Radiology. 2023 Jun 6;307(5):e222733. link 

121. Damiani C, Kalliatakis G, Sreenivas M, Al-Attar M, Rose J, Pudney C, Lane EF, Cuzick J, Montana G, Brentnall AR. Evaluation of an AI model to assess future breast cancer risk. Radiology. 2023 Jun 13;307(5):e222679. link 

122. Beuque MP, Lobbes MB, van Wijk Y, Widaatalla Y, Primakov S, Majer M, Balleyguier C, Woodruff HC, Lambin P. Combining deep learning and handcrafted radiomics for classification of suspicious lesions on contrast-enhanced mammograms. Radiology. 2023 Jun 20;307(5):e221843. link 

123. Yoon S, Nakamori S, Amyar A, Assana S, Cirillo J, Morales MA, Chow K, Bi X, Pierce P, Goddu B, Rodriguez J. Accelerated cardiac MRI cine with use of resolution enhancement generative adversarial inline neural network. Radiology. 2023 May 30;307(5):e222878. link 

124. Zhou J, Li C, Zhang H, Liu C, Yang J, Zhao J, Hou Y, Tan Y, Wang H, Li Y, Xie C. Association between coronary artery disease reporting and data system–recommended post–coronary CT angiography management and clinical outcomes in patients with stable chest pain from a Chinese registry. Radiology. 2023 Jun 13;307(5):e222965. link 

125. Chae KJ, Lim S, Seo JB, Hwang HJ, Choi H, Lynch D, Jin GY. Interstitial lung abnormalities at CT in the Korean National Lung Cancer Screening Program: prevalence and deep learning–based texture analysis. Radiology. 2023 Apr 25;307(4):e222828. link 

126. Baraghoshi D, Strand M, Humphries SM, San José Estépar R, Vegas Sanchez-Ferrero G, Charbonnier JP, Latisenko R, Silverman EK, Crapo JD, Lynch DA. Quantitative CT evaluation of emphysema progression over 10 years in the COPDGene study. Radiology. 2023 Apr 11;307(4):e222786. link 

127. Lee JH, Hong H, Nam G, Hwang EJ, Park CM. Effect of human-AI interaction on detection of malignant lung nodules on chest radiographs. Radiology. 2023 Jun 27;307(5):e222976. link 

128. Amudala Puchakayala PR, Sthanam VL, Nakhmani A, Chaudhary MF, Kizhakke Puliyakote A, Reinhardt JM, Zhang C, Bhatt SP, Bodduluri S. Radiomics for improved detection of chronic obstructive pulmonary disease in low-dose and standard-dose chest CT scans. Radiology. 2023 Jun 20;307(5):e222998. link 

129. Lee CC, Chan YL, Wong YC, Ng CJ, Chang CH, Hung CC, Su TH. Contrast-enhanced CT and acute kidney injury: risk stratification by diabetic status and kidney function. Radiology. 2023 Jun 6;307(5):e222321. link 

130. Yoon JH, Strand F, Baltzer PA, Conant EF, Gilbert FJ, Lehman CD, Morris EA, Mullen LA, Nishikawa RM, Sharma N, Vejborg I. Standalone AI for breast cancer detection at screening digital mammography and digital breast tomosynthesis: a systematic review and meta-analysis. Radiology. 2023 May 23;307(5):e222639. link 

131. Prosper AE, Kammer MN, Maldonado F, Aberle DR, Hsu W. Expanding role of advanced image analysis in CT-detected indeterminate pulmonary nodules and early lung cancer characterization. Radiology. 2023 Oct 10;309(1):e222904. link 

132. McCollough CH, Rajiah PS. Milestones in CT: past, present, and future. Radiology. 2023 Oct 17;309(1):e230803. link 

133. Larsen M, Olstad CF, Koch HW, Martiniussen MA, Hoff SR, Lund-Hanssen H, Solli HS, Mikalsen KØ, Auensen S, Nygård J, Lång K. AI risk score on screening mammograms preceding breast cancer diagnosis. Radiology. 2023 Oct 17;309(1):e230989. link 

134. Khader F, Müller-Franzes G, Wang T, Han T, Tayebi Arasteh S, Haarburger C, Stegmaier J, Bressem K, Kuhl C, Nebelung S, Kather JN. Multimodal deep learning for integrating chest radiographs and clinical parameters: a case for transformers. Radiology. 2023 Oct 3;309(1):e230806. link 

135. Heo S, Lee SS, Choi SH, Kim DW, Park HJ, Kim SY, Lee SJ, Kim KM, Shin YM. CT rule-in and rule-out criteria for clinically significant portal hypertension in chronic liver disease. Radiology. 2023 Oct 31;309(1):e231208. link 

136. Rothenberg SA, Savage CH, Abou Elkassem A, Singh S, Abozeed M, Hamki O, Junck K, Tridandapani S, Li M, Li Y, Smith AD. Prospective evaluation of AI triage of pulmonary emboli on CT pulmonary angiograms. Radiology. 2023 Oct 3;309(1):e230702. link 

137. Yun J, Ahn Y, Cho K, Oh SY, Lee SM, Kim N, Seo JB. Deep learning for automated triaging of stable chest radiographs in a follow-up setting. Radiology. 2023 Oct 24;309(1):e230606. link 

138. Chen Y, Taib AG, Darker IT, James JJ. Performance of a breast cancer detection AI algorithm using the personal performance in mammographic screening scheme. Radiology. 2023 Sep 5;308(3):e223299. link 

139. Lamb LR, Mercaldo SF, Ghaderi K, Carney A, Lehman CD. Comparison of the diagnostic accuracy of mammogram-based deep learning and traditional breast cancer risk models in patients who underwent supplemental screening with MRI. Radiology. 2023 Sep 19;308(3):e223077. link 

140. Watt GP, Thakran S, Sung JS, Jochelson MS, Lobbes MB, Weinstein SP, Bradbury AR, Buys SS, Morris EA, Apte A, Patel P. Association of breast cancer odds with background parenchymal enhancement quantified using a fully automated method at MRI: The IMAGINE study. Radiology. 2023 Sep 26;308(3):e230367. link 

141. Iriart X, Blanc G, Bouteiller XP, Legghe B, Bouyer B, Sridi-Cheniti S, Bustin A, Vasile C, Thambo JB, Elbaz M, Cochet H. Clinical implications of CT-detected hypoattenuation thickening on left atrial appendage occlusion devices. Radiology. 2023 Sep 5;308(3):e230462. link 

142. Madsen KT, Nørgaard BL, Øvrehus KA, Jensen JM, Parner E, Grove EL, Fairbairn TA, Nieman K, Patel MR, Rogers C, Mullen S. Prognostic value of coronary CT angiography–derived fractional flow reserve on 3-year outcomes in patients with stable angina. Radiology. 2023 Sep 12;308(3):e230524. link 

143. Alves N, Bosma JS, Venkadesh KV, Jacobs C, Saghir Z, De Rooij M, Hermans J, Huisman H. Prediction variability to identify reduced AI performance in cancer diagnosis at MRI and CT. Radiology. 2023 Sep 19;308(3):e230275. link 

144. Lind Plesner L, Müller FC, Brejnebøl MW, Laustrup LC, Rasmussen F, Nielsen OW, Boesen M, Brun Andersen M. Commercially available chest radiograph AI tools for detecting airspace disease, pneumothorax, and pleural effusion. Radiology. 2023 Sep 26;308(3):e231236. link 

145. Gruenewald LD, Koch V, Martin SS, Yel I, Mahmoudi S, Bernatz S, Eichler K, Gruber-Rouh T, Pinto Dos Santos D, D’Angelo T, Wesarg S. Dual-energy CT-based opportunistic volumetric bone mineral density assessment of the distal radius. Radiology. 2023 Aug 8;308(2):e223150. link 

146. Venkadesh KV, Aleef TA, Scholten ET, Saghir Z, Silva M, Sverzellati N, Pastorino U, van Ginneken B, Prokop M, Jacobs C. Prior CT improves deep learning for malignancy risk estimation of screening-detected pulmonary nodules. Radiology. 2023 Aug 1;308(2):e223308. link 

147. Faghani S, Moassefi M, Rouzrokh P, Khosravi B, Baffour FI, Ringler MD, Erickson BJ. Quantifying uncertainty in deep learning of radiologic images. Radiology. 2023 Aug 1;308(2):e222217. link 

148. Lauritzen AD, von Euler-Chelpin MC, Lynge E, Vejborg I, Nielsen M, Karssemeijer N, Lillholm M. Assessing breast cancer risk by combining AI for lesion detection and mammographic texture. Radiology. 2023 Aug 29;308(2):e230227. link 

149. Lu ZF, Yin WH, Schoepf UJ, Abrol S, Ma JW, Yu XB, Zhao L, Su XM, Wang CS, An YQ, Xiao ZC. Residual risk in non–ST-segment elevation acute coronary syndrome: quantitative plaque analysis at coronary CT angiography. Radiology. 2023 Aug 22;308(2):e230124. link