NIH VideoCast - The AI Path to Deeper and More Accurate Medicine

Skip Navigation

The AI Path to Deeper and More Accurate Medicine

Loading... Loading video...

1,186 Views

Air date:	Wednesday, May 19, 2021, 3:00:00 PM Time displayed is Eastern Time, Washington DC Local
Views:	Total views: 1,186 (488 Live, 698 On-demand)
Category:	WALS - Wednesday Afternoon Lectures
Runtime:	01:00:35
Closed captioning:	Check box to display CC outside of the video Note: You can drag the captioning window around and resize it
Description:	Wednesday Afternoon Lecture Series 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. For more information go to https://oir.nih.gov/wals

NLM Title:	The AI path to deeper and more accurate medicine / Eric Topol.
Author:	Topol, Eric J. National Institutes of Health (U.S.),
Publisher:
Abstract:	(CIT): 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.
Subjects:	Artificial Intelligence Data Accuracy Medical Informatics Applications Precision Medicine
Publication Types:	Lecture Webcast

NLM Classification:	W 26.55.A7
NLM ID:	9918226876706676
CIT Live ID:	41589
Permanent link:	https://videocast.nih.gov/watch=41589

Related Videos...