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Utah Salt Lake City AIME24

Keynote Speakers

Hayit Greenspan

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