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.

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: AprMayil 15, 2026

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

Notification of acceptance: July 20, 2026

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

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).

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, Emory University & Georgia Institute of Technology, 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

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. We had 3 excellent ambassadors joined AMAI 2025. Through this opportunity the students will gain exposures to MICCAI/AMAI and valuable networking experience. Ideally the Amabassadors will be an author of accepted submissions. f you are interested, please send an email to the organizers (Dr. Wu) with a brief introduciton of your backgorund/research and a short CV.

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