Keynote Speakers
Co-director of the Artificial Intelligence and Emerging Technologies in Medicine PhD concentration at the Icahn School of Medicine at Mount Sinai
Vice Chair of Operations in the Department of Computational Biomedicine and Associate Director of Computational Oncology at Cedars-Sinai Medical Center
Director of the Institute for Artificial Intelligence in Medicine – Center for Collaborative AI in Healthcare at Northwestern University
Director of the Center for Learning Health System Sciences and Senior Associate Dean for Health Informatics and Data Science at the University of Minnesota
The leading international scientific event related to artificial intelligence in medicine
This premier conference will bring together global experts to explore the latest trends, research, and practical applications of AI in medicine.
Seize this unique opportunity to learn from academic AI leaders, engage in interactive workshops, and establish valuable connections. The future of medicine is here; come and discover it at the most prestigious event of its kind.
Mark your calendar and get ready to be inspired. We look forward to seeing you in Salt Lake City, Utah, from July 9th to 12th.
Final Program available from
AIME24 - Award Finalists
| Marco Romani Award for the Best Full Paper | |||
|---|---|---|---|
Martin Michalowski, Szymon Wilk, Jenny M. Bauer, Marc Carrier, Aurelien Delluc, Grégoire Le Gal, Tzu-Fei Wang, Deborah Siegal, Wojtek Michalowski | Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians | University of Minnesota | |
Yilin Zhang, Shuo Chen, Rozalina G. Mccoy, Chixiang Chen, Yuzhou Chen | Multi-View k-Nearest Neighbor Graph Contrastive Learning on Multi-Modal Biomedical Data | University of Maryland | |
Waheed Ahmed Abro, Hanane Kteich, Zied Bouraou | Self-Supervised Segment Contrastive Learning for Medical Document Representation | Artois University | |
| Mario Stefanelli Award for the Best Student Paper | |||
|---|---|---|---|
Regina Ofori-Boateng, Magaly Aceves-Martins, Nirmalie Wirantunga, Carlos Francisco Moreno-García | Enhancing Abstract Screening Classification in Evidence-Based Medicine: Incorporating domain knowledge into pre-trained models | Robert Gordon University | |
Zhichuan Wang, Kinhei Lee, Qiao Deng, Tiffany Y. So, Wan Hang Chiu, Bingjing Zhou, Edward S. Hui | Expert Insight-Enhanced Follow-up Chest X-Ray Summary Generation | Chinese University of Hong Kong | |
Pranav Manjunath, Brian Lerner, Timothy Dunn | Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation | Duke University | |
AIME24 - Awardees
Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians
Authors: Martin Michalowski, Szymon Wilk, Jenny M. Bauer, Marc Carrier, Aurelien Delluc, Grégoire Le Gal, Tzu-Fei Wang, Deborah Siegal, Wojtek Michalowski.
Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation
Authors: Pranav Manjunath, Brian Lerner, Timothy Dunn.
Benchmarking embeddings and anomaly detection to identify Sars-Cov-2 Omicron Dominant Lineages
Authors: Simone Rancati, Giovanna Nicora, Mattia Prosperi, Riccardo Bellazzi, Simone Marini and Marco Salemi.
A Hybrid AI Framework for Neonatal Endotracheal Intubation Training
Authors: Yan Meng and James Hahn
Encoding clinical phenotypes into computable representations derived from latent spaces of large language models (LLMs)
Authors: Ellen Bowen, Akbar Waljee Md Msc and Geoffrey H. Siwo Phd
AIME24 - Key Dates
Registration opens
October 15th, 2023
Submission opens
October 15th, 2023
Submission deadline
June 1st, 2024
AIME begins
July 9th, 2024
AIME24 - Location and Venue
Known as the “Beehive State”, Utah is a blend of natural beauty and modern innovation. From its majestic mountain ranges to its bustling tech hubs, Utah is a place where tradition meets progress, making it a unique backdrop for our conference.
The University of Utah, nestled in the foothills of the Wasatch Mountains, is renowned for its commitment to research and innovation. Its central location in Salt Lake City ensures easy accessibility from all corners of the globe.
We eagerly anticipate welcoming you to Salt Lake City in July 2024. Given the expected high demand for hotels during this period, we strongly advise securing your accommodation well in advance.
AIME24 - Proceedings
To access the Proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, click on the buttons below:
AIME24 - Sponsors
