The Third Workshop on
Applications of Medical AI (AMAI)
October 6 , 2024, Marrakesh, Morocco
As a satellite event of MICCAI2024
Overview and Objective
Along with the quick evolvement of artificial intelligence (AI), deep/machine learning, and big data in healthcare, medical AI research goes beyond methodological/algorithm development. FDA has authorized more than 600 medical AI software, and many new research questions are emerging in the practical and applied aspects of medical AI, such as translational study, clinical evaluation, real-world use cases of AI systems, ethical, legal, and social issues (ELSI), etc. Clinicians are playing an increasingly stronger role in the frontiers of applied AI through collaboration with AI experts, data scientists, informatics officers, and the industry workforce.
Practical applications of medical AI bring in new challenges and opportunities. Today is the best time to strengthen the connections between the arising aspects of AI translation and applications and classic methodological/algorithmic research. The AMAI workshop aims to engage medical AI practitioners and bring more application flavor in clinical, evaluation, human-AI collaboration, new technical strategy, trustfulness, etc., to augment the research and development on the application aspects of medical AI, on top of pure technical research.
The goal of AMAI is to create a forum to bring together researchers, clinicians, data scientists, domain experts, AI practitioners, industry, and students to investigate and discuss various aspects related to applications of medical AI. AMAI will 1) introduce emerging medical AI research topics and novel methodology towards applications, 2) showcase the evaluation, translation, use case, success, ELSI considerations of AI in healthcare, 3) develop multi-disciplinary collaborations and academic-industry partnerships, and 4) provide educational, networking, and career opportunities for attendees including clinicians, scientists, trainees, and students.
AMAI 2024 will be composed of invited talks, contribution paper/abstract presentations, and expert panel discussions. Submissions will include 2 tracks, full papers and abstracts. Among all the accepted full papers and abstracts, the workshop will give a Best Student Paper award, a Best Workshop Paper award, and a Best Abstract Award, all with certificates.
The first AMAI workshop was held on September 18, 2022 in Singapore, as a Satellite Event of MICCAI 2022 and it was a big success.
The second AMAI workshop was held on October 8, 2023 in Vancouver, Canada, as a Satellite Event of MICCAI 2023 and the success was continued.
Call for Submissions
AMAI calls for submissions from multiple aspects of 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.
Clinical and translational AI/ML applications focusing on addressing specific diseases or medical contexts
Medical AI/ML evaluation studies in various settings (including simulation and real-world clinical environments)
Multi-modal medical AI systems, tools, and techniques
Generative AI and synthetic data use for biomedical applications
Foundation models, Vision-Language models, Large Language models, applications of ChatGPT or other similar systems in medical domains
Novel AI/ML strategies, approaches, methodologies, tools, and software towards practical utilities
Human reader/observer study, human-AI interaction/collaboration, synergy of AI/ML and human/medical intelligence
Success stories, use cases, challenges, opportunities, lessons learned, or prospects in medical AI/ML applications at work
Strategies, techniques, evaluation, measurement, or opinions on useability, explainability, trustworthiness, safety/security, regulations, acceptance, limitations, bias, fairness, disparities, and ethical, legal, and social issues (ELSI) of medical AI/ML
Medical AI/ML use from perspectives of researchers, clinicians, health providers, patients, and the public society
Multi-disciplinary AI/ML collaboration work among data scientists, clinicians, and other domain experts
Post-market evaluation, monitoring, and updating of medical AI in practice
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):
Prospect 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 CMT system: https://cmt3.research.microsoft.com/amai2024
Camera-ready Submission Instructions
Full papers: Please follow the MICCAI 2024 main conference's general guidelines (if applicable) for camera-ready submissions: https://conferences.miccai.org/2024/en/CAMERA-READY-SUBMISSION-GUIDELINES.html. 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). Supplemental materials are not allowed.
The License to Publish form 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 2024) 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: AMAI2024_License-to-Publish_PaperID.pdf) and upload it to the CMT 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. 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 submit to the CMT system. File names should be formatted as: AMAI2024_Abstract_submissionID.docx and AMAI2023_Abstract_submissionID.pdf. Supplemental materials are not allowed. No copyright form will need to be signed for accepted abstracts. The final version of the accepted abstracts will be made publicly accessible on this website.
Please use the same CMT system link (see above) to submit the camera-ready papers or final abstracts.
Publishing Plan and Awards
By default, accepted full papers will be published by Springer Nature as a part of the MICCAI Satellite Events joint LNCS proceedings. Depending on the quality and topics, a number of accepted full papers may be recommended to a partnering journal (the papers will need to go through additional editorial and peer-review process run by the journal, and authors will be asked whether they would like their accepted papers to be considered for recommendation; more details will be announced here in due course). Papers to be published in the partnering journal will not be published in the Springer Nature LNCS proceedings.
Accepted abstracts will not be formally published by publishers (neither in the MICCAI Satellite Events joint LNCS proceedings nor in the partnering journals); they 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
Workshop time: October 6, 2024
Submissions open: April 15, 2024
Submissions close: 11:59pm, Pacific Time, June 24, 2024
Submissions close: 11:59pm, Pacific Time, June 29, 2024
Notification of acceptance: July 12, 2024
Notification of acceptance: July 15, 2024
Camera ready submission due: 11:59pm, Pacific Time, July 26, 2024
Camera ready submission due: 11:59pm, Pacific Time, July 31, 2024
Program Committee
(In alphabetical order)
Mohd Anwar, PhD, National Institute of Biomedical Imaging and Bioengineering (NIBIB), USA
Dooman Arefan, PhD, University of Pittsburgh, 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, Massachusetts General Hospital/Harvard Medical School, USA
Douglas Hartman, MD, University of Cincinnati Medical Center, USA
Michail Klontzas, MD, University of Crete, Greece
Zhicheng Jiao, PhD, Brown University, USA
Fabian Laqu, MD, University Hospital Wuerzburg, Germany
Ines Prata Machado, PhD, University of Cambridge, UK
Mireia Crispin Ortuzar, PhD, University of Cambridge and Cancer Research, UK
Chang Min Park, MD, PhD, Seoul National University Hospital, Seoul Korea
Matthew Pease, MD, Indiana University, USA
Nicholas Petrick, PhD, U.S. Food and Drug Administration, USA
Bhanu Prakash K.N. PhD, Agency for Science, Technology and Research (A*STAR), Singapore
Parisa Rashidi, PhD, University of Florida, USA
Zaid Siddiqui, MD, Baylor College of Medicine, USA
Tao Tan, PhD, Macao Polytechnic University, Macau
Zhiyong (Sean) Xie, PhD, Xellar Biosystems, USA
Qi Yang, PhD, Genentech, Inc., USA
Yudong Zhang, MD, PhD, The 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
TBA
Organizers and Sponsors
Shandong Wu, PhD, Associate Professor, University of Pittsburgh, USA; Email: wus3@upmc.edu
Behrouz Shabestari, PhD, Director, National Technology Centers Program, National Institute of Biomedical Imaging and Bioengineering (NIBIB), USA; Email: behrouz.shabestari@nih.gov
Lei Xing, PhD, Jacob Haimson & Sarah S. Donaldson Professor, Stanford University, USA; Email: lei@stanford.edu
Sponsors
Pittsburgh Center for Artificial Intelligence Innovation in Medical Imaging