Important: Due to the on-going pandemic, the organizing committee has decided that AIME 2020 will be held virtually. We are receiving advice from other conferences that are going virtual, and working out the best ways to offer talks, workshops, and tutorials without losing the social aspect that has always been a central part of our meetings and our community. We have some exciting initiatives planned to encourage attendance of the virtual conference and to promote interaction during the many planned sessions. We will post details about these initiatives here and on our Twitter feed. Rest assured that all accepted papers to AIME 2020 will be published by Springer in our proceedings.
The conference dates have been shifted back by one day to accommodate the change to a virtual conference, and the schedule has been altered slightly. The tutorials will take place on Tuesday August 25th, the Doctoral Consortium and a special coronavirus-focused workshop on Wednesday August 26th, and the main conference including invited speakers and coronavirus-focused panel on Thursday August 27th and Friday August 28th. These changes are reflected below and in the appropriate sections of the conference website. Per usual, at least one of the authors from each accepted paper and poster must register and virtually attend the conference to present their work. Thank you for your understanding in these difficult times and we look forward to engaging with you August 25-28 2020!
Welcome to the 2020 International Conference on Artificial Intelligence in Medicine (AIME 2020) website.
The AIME 2020 conference will be hosted virtually by the University of Minnesota on August 25-28, 2020. As previous AIME conferences (from Pavia in 1985 to Poznan in 2019) it will be a unique opportunity to present significant theoretical, methodological and applied results related to the application of artificial intelligence (AI) in medicine. AIME 2020 will include invited lectures, full and short papers, tutorials, workshops, and a doctoral consortium.
The conference will accept contributions to theory and methods that present or analyze novel AI theories or methodologies for solving problems in the biomedical field. The Call for Papers provides detailed information about topics of interest and types of submissions accepted.
Chair Emeritus and Adjunct Professor, Department of Biomedical Informatics, Columbia University
President Emeritus, American Medical Informatics Association
Senior Research Scientist and Director, Center for Cognitive Studies in Medicine and Public Health, The New York Academy of Science
Adjunct Professor, Department of Biomedical Informatics, Columbia University
More details about the invited speakers and their talks are available on the Invited Speakers page.
Tutorials and Workshops
- Tutorial 1: Methods and Applications of Natural Language Processing in Medicine
- Tutorial 2: Large Scale Ensembled NLP Systems with Docker and Kubernetes
- Tutorial 3: The Overview Effect: Clinical Medicine and Healthcare Concepts for the Data Scientist
- Workshop: Artificial Intelligence and the Coronavirus
More details about each tutorial and workshop can be found on the Tutorials and Workshops page.
|Submission opens||December 2, 2019|
|Abstract submission deadline||April 3 April 17, 2020|
|Paper submission deadline||April 17 May 1, 2020|
|Notification of acceptance||May 22 June 29, 2020|
|Camera-ready submission deadline||June 5 July 13, 2020|
|Proposal submission deadline||March 20 April 17, 2020|
|Notification of acceptance||March 27 May 15, 2020|
|Paper submission deadline||April 3 June 15, 2020|
|Notification of acceptance||May 4 June 29, 2020|
Please see the Call for Sponsorship for more information on becoming a sponsor of AIME 2020.
Senior Advisory Committee Members
The AIME 2020 conference organizers include a senior advisory committee made up of highly regarded experts in the field of AI in Medicine. The committee members are providing inputs that will make AIME 2020 a resounding success. The committee members include:
- Peter Szolovits, Massachusetts Institute of Technology, USA
- Mark Musen, Stanford University, USA
- George Hripcsak, Columbia University, USA
- John H. Holmes, University of Pennsylvania, USA
- Deborah Estrin, Cornell Tech, USA
- Carlo Combi, Universita' degli Studi di Verona, Italy
- Noemie Elhadad, Columbia University, USA
- Milos Hauskrecht, University of Pittsburgh, USA
- Riccardo Bellazzi, Università di Pavia, Italy
- Mor Peleg, University of Haifa, Israel
- Yuval Shahar, Ben Gurion University, Israel
- Blaž Zupan, University of Ljubljana, Slovenia
- Lei Xing, Stanford University, USA