AIIIMA 2025 is open for submission. Submit your manuscript now (Deadline: Aug 24, 2025)!!!
There have been many advances in the use infrared imaging for medical applications in recent years. Infrared imaging comprises near-infrared, mid-wave infrared and long wave infrared spectrum. In the first ever AIIIMA workshop, more focus is given for long wave infrared imaging, in other words, thermal imaging. In the last two decades, infrared thermal imaging hardware devices have improved in thermal sensitivity by orders of magnitude (0.8 to 0.02 deg C) and recent research explorations have unearthed multiple clinical use cases and medical applications for thermal imaging. This non-contact, non-invasive radiation-free low-cost portable modality offers several advantages over other imaging modalities to patient monitoring applications in general. Furthermore, since thermal images have some unique imaging characteristics with inbuilt anonymity and opportunity to analyze in both thermal and imaging feature space, it has sparked considerable interest in several research communities. A simple pubmed search with the combination of words ‘Thermal imaging ’ and ‘Medical’ results in over 5000 articles just in the last decade. This surge of applications is 10 times higher when compared to the publications on thermal imaging during 2000-2010. We are also starting to see innovative startups creating breakthrough solutions leveraging this emerging trend of advanced medical infrared thermology and use of novel machine learning algorithms over the captured thermal images. We believe it is time to create a forum to discuss this specific sub-topic and promote this novel area of research among the research community that has the potential to hugely impact our society.
Some specific clinical applications of Infrared Imaging are seen in screening, diagnosis and treatment of cancer, such as breast cancer, skin cancer, oral cancer and others. Utility in evaluating skeletomuscular issues such as rheumatoid arthritis, vascular complications such as detecting early onset of diabetic foot and river blindness (parasites under the skin) or even respiratory abnormalities such as pneumonia and COVID-19. The patient monitoring applications include treatment monitoring during neoadjuvant chemotherapy, acupuncture, cryotherapy and pain management. A focused discussion on the topic of machine analysis of medical Infrared Imaging can help create new radiomic biomarkers that can help in several such clinical use cases.
The topics of interest to this conference include but not limited to the novel AI techniques over infrared images to address the following problems:
Cancer screening and diagnosis
Treatment Monitoring
Health monitoring in public places
Patient monitoring with respiratory issues
Mental Health
COVID screening
Pain management
Sports medicine
Vascular medicine
Veterinary medicine
Biomarkers prediction
Thermal Surface Reconstruction / registration
Thermal Image Segmentation
3D modeling
Image segmentation and cross-modality registration
Generative AI for data synthesis
Multi-modal imaging
And others
All accepted papers will be published as part of the Springer's Lecture Notes in Computer Science (LNCS)*.
Submission Portal: http://cmt3.research.microsoft.com/AIIIMA2025
24 August 2025 Paper submissions due
10 September 2025 Notification of paper decisions
28 September 2025 Camera ready papers due
15 November 2025 AIIIMA conference date
The AIIIMA 2025 Dataset Track invites researchers, clinicians, and industry experts to share curated datasets that drive innovation in AI over infrared images for medical applications. This track focuses on opensource datasets that support the development, benchmarking, and validation of AI algorithms for various medical applications.
Onchocerciasis Thermal Imaging Dataset from Niramai: [Dataset] [paper]
COVID-19 Thermal Screening NTIC Dataset from Niramai: [Dataset] [paper]
Thyroid Thermal Image Dataset from Visual Lab: [Dataset]
Plantar Thermogram Database For The Study Of Diabetic Foot Complications from INAOE [Dataset]
Chronic Wounds Multimodal Image Database [Dataset]
*The above datasets are listed for experimentation purposes only and we do not endorse the validity or veracity of the above datasets.
If you want be a sponsor, please contact aiiima.miccai@gmail.com
No. AIIIMA waived off the registration/publication fee to encourage more submissions.
AIIIMA made the conference completely online to encourage more submissions.
Acknowledgment: The Microsoft CMT service will be used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
If you want be a sponsor, please contact aiiima.miccai@gmail.com