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The AI Path to Deeper and More Accurate Medicine
Wednesday, May 19, 2021,
3:00:00 PM Time displayed is Eastern Time, Washington DC Local
Dr. Topol, Executive Vice President of Scripps Research, is widely known for his development of genomic and digital tools coupled with artificial intelligence analytics geared to individualize medicine. He is among the most cited researchers in medicine. In 2016, Topol was awarded a $207 million grant from the NIH to help lead the Precision Medicine Initiative Cohort Program, now called the All of Us Research Program, a prospective research initiative enrolling 1 million diverse participants in the United States.
The subtype of AI, deep learning, has recently been used for a variety of medical applications, particularly image interpretation, across many disciplines. It is early, but these deep neural networks have considerable transformative potential to promote accuracy, streamline workflow, synthesize data for both clinicians and patients, promote patient autonomy, and greatly enhance the patient–clinician relationship. To date, prospective validation studies are quite limited, and we need to confront such vital issues of how AI can unintendedly worsen inequities and discrimination. The goal, which may be considered counter-intuitive, is to use this technology to make medicine more human.