This exclusive workshop will demystify reinforcement learning for clinicians and executives. LOCATION: ELIZABETHAN ROOM D Leo Anthony Celi, MD, Associate Professor of Medicine, Harvard Medical School, Principal Research Scientist, Massachusetts Institute of Technology Matthieu Komorowski, MD, PhD, C
What are the key trends to consider as we go forward with the implementation of artificial intelligence in healthcare organizations and systems? Considering topics such as wearables, digital twin, swarm learning, etc. Matthew Lungren, MD, MPH, Associate Fellow, Stanford AIMI Suchi Saria, PhD, Associ
Delivered in partnership with BevelCloud and iSPI LOCATION: ELIZABETHAN ROOM B How to enable sharing of data from 1 million healthcare machines in all 500 children’s hospitals in the world? Key considerations include how to access diverse datasets to drive deep learning training, how to preserve pri
Delivered in partnership with Medical Informatics Corp. & Intel LOCATION: ELIZABETHAN ROOM D AI-based tools built from comprehensive physiologic waveform datasets are key to delivering 'patient-centric' care at scale. Join us to see how healthcare leaders are accessing waveform and other time-se
Delivered in partnership with Pentavere. LOCATION: ELIZABETHAN ROOM B What do healthcare organizations need to do in order to harness the full potential of their data? What are the common pitfalls in doing this, and how can you mitigate them? Moderator: Karen B Seagraves, PhD, MPH, NEA-BC, APRN, FAH
Delivered in partnership with ACAIM LOCATION: ELIZABETHAN ROOM C A practical workshop addressing some of the prevailing ethical challenges in healthcare AI, including trust, bias, data privacy, and explainability. Moderator: Eric Eskioglu, MD, Executive Vice President, Chief Medical and Scientific O