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Medicine is complex and data-driven and discovery and decision making are increasingly enabled by machine learning. Machine learning has the potential to support, enable and improve medical discovery and clinical decision making in areas such as medical imaging, cancer diagnostics, precision medicine, clinical trials, and electronic health records. This seminar series focuses on new algorithms, real-world deployment, and future trends in machine learning in medicine. It will feature prominent investigators who are developing and applying machine learning to biomedical discovery and in clinical decision support.

Date Topic Speaker Institution
January 26, 2024
Friday
Time: 2:00 PM - 3:00 PM EST
Hosted by UofT
Expert Load Matters: Operating Networks at High Accuracy and Low Manual Effort

Recording of presentation
Ender Konukoglu ETH-Zurich
January 31, 2024
Wednesday
Time: 2:00 PM - 3:00 PM EST
Hosted by BU
Real World Evidence in the Age of LLMs (Hybrid - in person and online)

Recording of presentation
Tristan Naumann Microsoft
February 9, 2024
Friday
Time: 2:00 PM - 3:00 PM EST
Hosted by Pitt/UPMC
Towards Reliable and Trustworthy Machine Learning Methods for Medical Imaging

Recording of presentation
Alan Wang Cornell University
February 23, 2024
Friday
Time: 2:00 PM - 3:00 PM EST
Hosted by UofT
Learning Models that Predict Objective, Actionable Labels

Recording of presentation
Russ Greiner University of Alberta
March 8, 2024
Friday
Time: 2:00 PM - 3:00 PM EST
Hosted by BU
The Future of Healthcare: How AI and ChatGPT are Changing the Game in Medicine

Recording of presentation
Zhiyong Lu National Library of Medicine
March 22, 2024
Friday
Time: 2:00 PM - 3:00 PM EDT
Hosted by Pitt/UPMC
Automatic Low-quality Fundus Image Enhancement and Diabetic Retinopathy Grading with Explanations

Recording of presentation
Osmar Zaiane University of Alberta
March 27, 2024
Wednesday
Time: 1:00 PM - 2:00 PM EDT
Hosted by BU
Biomedicine in the Age of Generative AI (Artificial Intelligence Research (AIR) Distinguished Speaker Series; co-sponsored by MLxMed & only in person)

(No recording)
James Zou Stanford University
April 5, 2024
Friday
Time: 2:00 PM - 3:00 PM EDT
Hosted by UofT
Advancing Precision Medicine through Machine Learning in Computational Pathology

Recording of presentation
Saeed Hassanpour Dartmouth Medicine
April 19, 2024
Friday
Time: 2:00 PM - 3:00 PM EDT
Hosted by Pitt/UPMC
LLMs and Evidence Summarization

(No recording)
Yifan Peng Weill Cornell Medicine
May 3, 2024
Friday
Time: 2:00 PM - 3:00 PM EDT
Hosted by UofT
Real-world Data, Real-world Problems, and Real-world Opportunities with AI

Recording of presentation
Jiang Bian University of Florida
May 17, 2024
Friday
Time: 2:30 PM - 3:30 PM EDT
Hosted by BU
Designing and Benchmarking Healthcare Large Language Models

Recording of presentation
Akshay Chaudhari Stanford University