More than 200 global experts gathered Dec. 12-13 to address the clinical application of artificial intelligence at the second annual Artificial Intelligence in Medicine Symposium, co-hosted by Los Angeles-based Cedars-Sinai and Toronto-based University Health Network.
Leaders from more than 40 institutions explored strategies for deploying AI in patient care, with sessions focused on data privacy, ethical oversight, clinician training, and commercialization challenges, according to a news release.
“In a time when forces are pulling countries and people apart, partnerships like these are essential,” said Peter Slavin, MD, president and CEO of Cedars-Sinai. “AI should not only improve efficiencies but also ensure equity in care and democratize access to information for patients.”
Kevin Smith, PhD, president and CEO of UHN, hopes AI will transform care delivery without impacting the culture of human-centered care delivery.
“Culture is our bedrock,” said Mr. Smith. “We strive to integrate AI into our workflows to improve lives, outcomes and efficiencies–without changing the culture of our unique medical center.”
Cedars-Sinai Vice Dean Sumeet Chugh, MD, and UHN’s Peter Munk Cardiac Centre Medical Director Barry Rubin, PhD, co-chaired the event. They touched on the need for data privacy and additional training for clinicians on AI documentation tools as well as policies around data use and commercialization.
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