Overview and Objective

Alongside the rapid evolvement of artificial intelligence (AI), deep learning, and big data in healthcare, medical AI research goes beyond methodological/algorithm development. Numerous medical AI software have obtained regulatory approvals, and many new research questions are emerging in the translational and applied aspects of medical AI, such as translational study, clinical evaluation, real-world practical use cases of AI systems, etc. Clinicians are playing an increasingly pivotal role in the frontiers of applied AI through collaboration with AI experts, data scientists, clinical staff, informatics officers, and the industry workforce.

AI applications bring in new challenges and opportunities, and are becoming a focus of technical advances and research agenda. The goal of AMAI is to create a forum that brings together researchers, clinicians, data scientists, domain experts, AI practitioners, industry professionals, and students to investigate and discuss various aspects of the development, evaluation, translation, and applications of medical AI. AMAI will highlight emerging medical AI research topics in real-world settings, showcase application stories and use cases, promote multi-disciplinary collaborations, provide educational training, networking, and career development opportunities for attendees at all levels. 

The AMAI workshops have been successfully held for four years since 2022 and engaged a dedicated group of researchers and fostered a growing community around this topic, bringing increased engagement of clinically focused content and attendees to the MICCAI community. The AMAI series workshops received global engagement from more than 72 countries/regions, with submissions from 6 continents of Asia, North America, Europe, South America, Africa, and Australia. This workshop will continue to have a significant impact in advancing the clinical applications of AI and inspiring new technical research focused on practical and impactful AI for medicine.

AMAI2026 will be composed of invited talks, contribution paper/abstract presentations, and panel discussions. Submissions will include 2 tracks, full papers (8 pages) and abstracts (1 page). Accepted work will be assigned to oral or poster presentation. To recognize excellence, we will present a few best paper/abstract awards all with electronic certificates. 

Call for Submissions

AMAI calls for submissions of multi-disciplinary and applied research topics, such as, but not limited to, those listed below. AMAI is agnostic to medical data modalities and encourages submissions using imaging and/or non-imaging data. 

AMAI papers differ from clinical abstracts and pure technical papers in that it presents a substantial length and depth of research work that develops, fits, adapts, or applies AI techniques (not necessarily new techniques) to meaningful medical/clinical contexts to address unmet and/or new needs. Authors are required to include a dedicated section of “Prospects of Application” in each paper to discuss the envisioned contexts, scenarios, or circumstances on the translation, application, and deployment of the presented work. This will be a key review criterion to assess how well a paper fits to the spirit of this workshop.

• Clinical and Translational AI/ML Applications: Focused on specific diseases or medical contexts.

• Evaluation and Validation: Testing medical AI/ML in simulated or real-world settings (prevention, screening, risk assessment, diagnosis, prognosis, treatment, etc.).

• Data Innovation: Curation of medical data, including generative AI and synthetic data applications.

• Advanced AI Models: Development, evaluation, and use of multi-modal AI models, foundation models, large language models, vision-language models, world models, in medical domains.

• Novel Approaches: Strategies, methodologies, tools, and software aimed at practical and clinical applications of AI/ML.

• Human-AI Collaboration: Observer studies, human-AI interactions, synergistic integration of AI/ML with human/medical intelligence, and AI model uncertainty quantification.

• Case Studies: Successful use cases, challenges, opportunities, lessons learned, and future prospects for medical AI/ML.

• Trust and Usability: Strategies and opinions on usability, explainability, trustworthiness, safety, regulations, acceptance, limitations, bias, fairness, disparities, and ethical, legal, and social issues (ELSI).

• Lifecycle Management: Post-market evaluation, performance monitoring, and continuous learning of medical AI systems in practice.

• Stakeholder Perspectives: Exploring the acceptance of medical AI/ML among clinicians, healthcare providers, patients, and society at large.

• Interdisciplinary Collaboration: Promoting collaboration between data scientists, clinicians, and domain experts.
  
  

Submissions may be in two tracks:

Track 1: Full papers: Submissions must be new work. All submissions will be reviewed by at least two experts with experience of relevance. Accepted papers will be assigned as oral or poster presentations primarily based on merit. Each paper will allow a maximum of 8 pages (including texts, figures, and tables) for scientific content and up to 2 additional pages for references. Submissions should be formatted in Lecture Notes in Computer Science (LNCS) style (Please use Springer LaTeX or Word templates) and anonymized for double-blind review. Supplemental materials are not allowed. For accepted papers, the corresponding/senior authors will need to complete and sign a Consent-to-Publish form on behalf of all the authors. For papers invited for publication in the partnering journals, the authors will be asked to convert the accepted papers to align with the format requirements of the journals.

Note: Within the last section (i.e., Discussion or Conclusion) of your paper, it is required to include a separate paragraph at the end of the section to briefly describe the prospect of application of your work. Please refer to below format (note that the phrase of "Prospect of application" needs to be bold font):

Prospects of Application: Use maximum 60 words to describe the prospect and envisioned contexts, scenarios, or circumstances on the potential application/deployment of your work. 

Track 2: Abstracts: Submissions may be new work or recently published/accepted papers (including posted preprints). All submissions will be reviewed in terms of scientific merit, relevance to the workshop, and significance to the field. Accepted abstracts may be assigned primarily as poster presentations. Submissions will allow a maximum of 1 page (including figures/tables, if any), following specified formats in this template: AMAI Abstract Template. Abstract submissions do not need to be anonymized. The accepted abstracts will be made publicly accessible on this website.

Submissions for both tracks should be submitted via the OpenReview system: submission link
 

Important Note: An open-access version of all accepted papers from the MICCAI 2026 Satellite Event {The Fifth Workshop on Applications of Medical AI (AMAI)} will be made available on the MICCAI Society website no earlier than one week before the first day of the conference. Authors intending to file patents are responsible for ensuring that all necessary filings are completed prior to this public release.

Camera-ready Submission Instructions

Full papers: Please follow the MICCAI 2026 main conference's general guidelines for camera-ready submissions: https://conferences.miccai.org/2026/en/CAMERA-READY-SUBMISSION-GUIDELINES.html. Please read the the base guidelines carefully and note that the new requirement on Disclosure of Interests for 2026. Paper length: a maximum of 8.5 pages (including texts, figures, and tables) for scientific content and up to 2 additional pages for references (this is consistent with the MICCAI main conference). Both the source files (Word or Latex) and a singel final PDF file of the camera-ready paper are required to upload (file format: AMAI2026_PaperID.pdf, where PaperID should be replaced with the two-digit numeric ID of your paper assigned in the OpenReview system; source files: AMAI2026_PaperID.docx or AMAI2026_PaperID.zip [all Latex source files]). Supplemental materials are not allowed.

The License to Publish form is also required to be uploaded, which needs to be signed by the corresponding/senior author on behalf of all the authors. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Conference Name (i.e., AMAI 2026) and the Volume Editors' Names are already entered for you at the first page, where you need to fill in the title and names of the all authors and corresponding authors of your paper. This form must be signed in wet-ink. Digital signature is not acceptable. Please scan your signed form and save it as a PDF file (file name format: AMAI2026_License-to-Publish_PaperID.pdf, where PaperID should be replaced with the two-digit numeric ID of your paper assigned in the OpenReview system).

The corresponding author must be available to carry out a final proof check of the typeset paper before publishing in the LNCS proceedings. He or she will be given a 72-hour time-slot to do so. If the corresponding author does not respond within the timeslot given, the paper is automatically considered approved. The publisher will not accommodate any late correction requests. The corresponding author should be clearly marked as such in the header of the paper. He or she is also the one who signs the license-to-publish form on behalf of all of the authors. Please note that the corresponding author cannot be changed after the camera ready submission deadline. We encourage the inclusion of all of the authors’ email addresses in the header, but at the very least, the email address of the corresponding author should be present.

Abstracts: Final version of the accepted abstracts should be formatted strictly following the AMAI Abstract Template. The maximum length of an abstract is 1 page (including everything). Both a Word source document (.docx) and a corresponding PDF document (.pdf) are required as final files to upload. File names should be formatted as: AMAI2026_Abstract_submissionID.docx and AMAI2026_Abstract_submissionID.pdf. Supplemental materials are not allowed. No copyright form will be needed for accepted abstracts. The final version of the accepted abstracts will be made publicly accessible on this website. 

Please use the OpenReview portal to submit the camera-ready documents.

Presentation Instructions

• Oral presentations will be a total of 10 minutes per paper (Q&A time included). Oral-presentation papers will not be presented during the poster session. There are no specific formatting requirements on the presentation slides. Presenters are asked to report earlier to the workshop room to copy the presentation files to the computer before the start of the workshop. 

• For papers/abstracts accepted as poster presentations, they will also be presented during the dedicated poster session (see below Agenda). For poster presenters, please make your physical posters referring to the MICCAI main conference poster formats and there are no specific templates for our workshop. Posters will be staying up throughout the full day (not just the workshop hours) and please display your posters before the workshop starts and as early as you can. There will be a dedicated poster session in the workshop agenda for authors to present their posters, but authors can and are encouraged to present/interact anytime while the posters are in display. There will be labels on the poster boards. Authors please just find an empty board labeled for our workshop (i.e., AMAI) to use for your posters (no specific numbers will be assigned to specific posters).

Publishing Plan and Awards

By default, accepted full papers will be published in a Springer Nature LNCS proceeding as a part of the MICCAI Satellite Events. Accepted abstracts will be made publicly accessible on this website.

Among all the accepted full papers and abstracts, AMAI will give a Best Student Paper award, a Best Workshop Paper award, and a Best Abstract Award, all with electronic certificates. 

Important Dates

Submissions open: April 15, 2026

Submissions close: 11:59pm, Pacific Time, June 25, 2026

Submissions close: 11:59pm, Pacific Time, June 30, 2026

Notification of acceptance: July 20, 2026

Notification of acceptance: July 25, 2026

Camera ready submission due: 11:59pm, Pacific Time, July 30, 2026

Camera ready submission due: 11:59pm, Pacific Time, August 7, 2026 (firm deadline)

The workshop organizers will send all camera-ready papers and publishing materials to the MICCAI Satellite Event Chairs no later than August 27, 2026 (firm deadline). If your camera-ready documents are missing, incomplete, delayed, with errors, or lacking valid signatures, your paper may not be included in the official proceeding. 

Workshop: Oct. 1, 2026; 13:30 - 18pm

Program Committee

(In alphabetical order)

• Mohd Anwar, PhD, National Institutes of Health, USA

• Dooman Arefan, PhD, University of Pittsburgh, USA

• Imon Banerjee, PhD, Mayo Clinic, USA

• Sixian Chan, PhD, Zhejiang University of Technology, China 

• Niketa Chotai, MD, RadLink Imaging Centre and National University of Singapore, Singapore 

• Dania Daye, MD, PhD, University of Wisconsin, USA 

• Kinda Douaidari, MD, American Hospital Dubai, United Arab Emirates

• Susanne Gaube, PhD, University College London, UK

• Degan Hao, PhD, Morgan Stanley, USA

• Michail Klontzas, MD, University of Crete, Greece 

• Hyun Soo Ko, MD, Peter MacCallum Cancer Centre and University of Melbourne, Australia

• Md Tauhidul Islam, PhD, Stanford University, USA

• Zhicheng Jiao, PhD, Brown University, USA

• Fabian Laqu, MD, University Hospital Würzburg, Germany 

• Anh Le, PhD, Cedars-Sinai Medical Center, USA

• Wenjuan Ma, PhD, Tianjin Medical University Cancer Institute and Hospital, China

• Ines Prata Machado, PhD, University of Cambridge, UK

• Neeraj Mahboobani, MBBS, The Chinese University of Hong Kong, Hong Kong

• Masahiro ODA, PhD, Nagoya University, Japan

• Mireia Crispin Ortuzar, PhD, University of Cambridge and Cancer Research, UK 

• Chang Min Park, MD, PhD, Seoul National University Hospital, South Korea 

• Matthew Pease, MD, Indiana University, USA 

• Nicholas Petrick, PhD, U.S. Food and Drug Administration, USA 

• Bhanu Prakash K.N., PhD, National University of Singapore, Singapore 

• Parisa Rashidi, PhD, University of Florida, USA 

• Zaid Siddiqui, MD, Baylor College of Medicine, USA 

• Tao Tan, PhD, Macao Polytechnic University, China  

• Zhiyong (Sean) Xie, PhD, Fosun Pharma, China 

• Qi Yang, PhD, Genentech, Inc., USA 

• Xiaofeng Yang, PhD, University of Chicago, USA

• Yudong Zhang, MD, PhD, First Affiliated Hospital, Nanjing Medical University, China

• Jian Zheng, PhD, Suzhou Institute of Biomedical Engineering and Technology of the Chinese Academy of Sciences, China

Agenda

Location: Room Rome (G)

Time: 13:30-18:00, Oct. 1, 2026 

** Presenters please report to the organizers before the start of the workshop and copy your presentation slides to the onsite computer.

** Refer to "Presentation Instructions" in the Call for Submission section.

13:30: Introductory remarks: AMAI Organizers

13:35-13:55: Invited talk

Mohd Anwar, PhD

Lead of Foundational AI

National Institutes of Health (NIH)

Title: “Ethical Multimodal AI for Patient Care”

Moderator: Shandong Wu, PhD, University of Pittsburgh

13:55-14:35: Oral Presentation Session I: 4 papers

  (10 mins /paper; including presentation and Q&A) 

Moderator: Behrouz Shabestari, PhD, NIH; Samrajya Thapa, PhD Student, USA

#37 NeurGait: A Vision-Language Framework for Structured Gait Assessment Support in Parkinson’s Disease and Multiple Sclerosis

Guzin Kaya Aytutuldu, Ilhan Aytutuldu, Nazan Karagoz Sakalli, Rabia Gokcen Gozubatik Celik, Mesude Tutuncu, Zeynep Ozdemir, Burcu Ersoz Huseyinsinoglu, and Yusuf Sinan Akgul

#38 EuropeMedQA: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation

Francesco Andrea Causio, Olivia Riccomi, Vittorio De Vita, Federico Felizzi, Michele Ferramola, Alessandro Tosi, Antonio Cristiano, Lorenzo De Mori, Chiara Battipaglia, Melissa Sawaya, Luigi De Angelis, Marcello Di Pumpo, Alessandra Piscitelli, Pietro Eric Risuleo, Alessia Longo, Giulia Vojvodic, Mariapia Vassalli, Bianca Destro Castaniti, Nicolò Scarsi, Manuel Del Medico

#14 ArdsTracker: Time-series physiological neural networks for predicting respiratory failure based on chest X-ray   

Weiru Wang, Jianming Wei, Rosa Cornelia Jacoba Kraaijveld, Hong-Yu Zhou, Stephan Ursprung, Yue Sun, Tao Tan, Yuan Gao, Xin Wang

#27 Determinism, Plausibility, and Clinical Trust in CT-to-MRI Translation for Emergency Spine Imaging

Paul Banahan, Prateek Mathur, Molly Godson Treacy, Edward McDermott, Eimear Kyle, David Caldwell, Aonghus Lawlor, Peter MacMahon

14:35-15:30: Poster presentation (for all papers and abstracts accepted as posters) and coffee break (All attendees will walk to the poster area in the same building for discussion. Please make sure to come back to the workshop room ON TIME to continue the remaining agenda)

Moderator: Student Ambassadors (Samrajya Thapa, Arooba Maqsood, Xin Wang)

15:30-16:10: Oral Presentation Session II: 4 papers

 (10 mins /paper; including presentation and Q&A)

Moderator: Ines Prata Machado, PhD, University of Cambridge; Abdulrazaq A. Zubair, PhD student, Nigeria

#36 Towards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging

  Yiheng Xiong, Luisa Gallée, Daniel Santak Wolf, Heiko Hillenhagen, Michael Götz

#28 Modeling Abnormality as Semantic Deviation for Few-Shot Medical Anomaly Detection

  Shoiab Shafi, Arooba Maqsood, Abdullah Tariq, Syed Zulqarnain Gilani

#73 Beyond Explanation: Debugging Medical Imaging Models via Concept Intervention                                   

Samrajya Thapa, Daniel J. Quest, Timothy L. Kline, Carrie L. Langstraat, Emanuel C. Trabuco, Wei Le

#12 Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Respons Prediction from Serial DCE-MRI

Fidel Omar Tito Cruz, Neda Ghafouri, Zengyan Wang, Pegah Khosravi, Yu Tian, and Chen Chen

16:10-17:10: Faculty-Student Panel

Topic: Translational Research to Advance Medical AI Application

Format: Panelist spotlight presentations (5 minutes for each faculty panelist and 1 slide [90 seconds] for each student panelist) + Panel discussions.

Moderator: Arooba Maqsood, PhD student, Edith Cowan University, Australia; Samrajya Thapa, PhD student, Iowa State University, USA

Panelists:

Neeraj R. Mahboobani, MD

Clinical Assistant Professor

Department of Imaging and Interventional Radiology

The Chinese University of Hong Kong

Syed Zulqarnain Gilani, PhD

Senior Lecturer,

Raine Robson Research Fellow,

Centre for Artificial Intelligence and Machine Learning (CAIML)

Edith Cowan University, Australia

Xin Wang, PhD student

Netherlands Cancer Institute

The Netherlands

Abdulrazaq A. Zubair, PhD Student

Medical Radiography at Bayero University Kano and FUHSA,

Nigeria

17:10-17:15: Special Presentation

“Share your work with international AI community: BJR | Artificial Intelligence”

Miranda Ashby-Wood

Head of Publishing (Development)

The British Institute of Radiology

17:15-17:35: Invited Talk

Behrouz Shabestari, PhD

            Director of the National Technology Centers Program

  Director of Division of Health Informatics Technologies

  National Institute of Biomedical Imaging and Bioengineering (NIBIB)

  National Institutes of Health (NIH)

   Title: “Funding Opportunities at NIBIB and NIH”

  Moderator: Neeraj R. Mahboobani, MD, The Chinese University of Hong Kong

17:35-17:55: Oral Presentation Session III: 2 papers

 (10 mins /paper; including presentation and Q&A)

Moderator: Xin Wang, PhD student, Netherlands, Arooba Maqsood, PhD student, Australia

  #39 Learning Diagnostic Reasoning for Decision Support in Toxicology

Nico Oberländer, David Bani-Harouni, Tobias Zellner, Nassir Navab, Florian Eyer, Matthias Keicher

#23 Appendicular Lean Mass Estimation from Dual-View DXA Scans Using Hierarchical Fusion

Marion Mundt, Afsah Saleem, Abadi K Gebre, Arooba Maqsood, John T Schousboe, William D Leslie, Nicholas C Harvey, Syed Zulqarnain Gilani, Kun Hu, David Suter, Joshua R Lewis, Marc Sim 

17:55-18:00: Award announcement and closing remarks

18:00: Adjourn

Student Ambassadors

We welcome students/trainees to engage with our workshop as Student Ambassadors. In this role, they help promote the workshop, participate in related activities, organize networking events, and/or facilitate logistics.

Organizers and Sponsors

• • Shandong Wu, PhD, Professor of Radiology, Biomedical Informatics, Bioengineering, Intelligent Systems, Clinical and Translational Science; Director of Pittsburgh Center for AI Innovation in Medical Imaging, University of Pittsburgh, USA; Email: wus3@upmc.edu 

  • Behrouz Shabestari, PhD, Director of the National Technology Centers Program, and Director of Division of Health Informatics Technologies, National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (NIH), USA; Email: behrouz.shabestari@nih.gov 

  • Lei Xing, PhD, Jacob Haimson and Sarah S Donaldson Professor, Director of Medical Physics of Radiation Oncology Dept.; Joint faculty positions in Dept. of Electrical engineering, Inst. of Computational and Mathematical Engineering, Bio-X, and Molecular Imaging Program, Stanford University, USA; Email: lei@stanford.edu 

Sponsors:  Pittsburgh Center for Artificial Intelligence Innovation in Medical Imaging

Previous Workshops

• The First Workshop on Applications of Medical AI (AMAI 2022),  September 18, 2022, Singapore

• The Second Workshop on Applications of Medical AI (AMAI 2023),  October 8, 2023, Vancouver, Canada

• The Third Workshop on Applications of Medical AI (AMAI 2024),  October 6, 2024, Marrakesh, Morocco

• The Fourth Workshop on Applications of Medical AI (AMAI 2025), September 23, 2025, Daejeon, Republic of Korea