NIH VideoCast - Harnessing AI To Explore Health Restoration in Diabetes

Content-Length: 47812 | pFad | https://videocast.nih.gov/watch=54899

NIH VideoCast - Harnessing AI To Explore Health Restoration in Diabetes

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Harnessing AI To Explore Health Restoration in Diabetes

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Air date:	Monday, July 29, 2024, 1:30:00 PM Time displayed is Eastern Time, Washington DC Local
Views:	Total views: 475 (228 Live, 247 On-demand)
Category:	National Center for Complementary and Integrative Health
Runtime:	01:12:47
Closed captioning:	Check box to display CC outside of the video Note: You can drag the captioning window around and resize it
Description:	One of the promising areas in medical research is the use of artificial intelligence (AI) and machine learning (ML) to analyze large sets of data in order to gain better understanding of the development of disease (pathogenesis) and the restoration of health (salutogenesis). Dr. Aaron Lee is a principal investigator on an exciting data generation project funded through the National Institutes of Health (NIH) Common Fund’s “Bridge to Artificial Intelligence” (Bridge2AI) program. Bridge2AI seeks to create flagship, ethically sourced datasets, as well as best practice guidelines, to help researchers utilize AI/ML methods to address biomedical and behavioral research grand challenges. Dr. Lee’s project, AI-READI, is generating multimodal (i.e., combining various types/contexts of data), high-quality, and ethically sourced data that will be ready for AI/ML methods to study salutogenesis in the context of type 2 diabetes. The study is recruiting participants representing the diverse U.S. population and the spectrum from normal health to severely diabetic. In addition to describing the AI-READI study, Dr. Lee will also discuss researching the health of the whole person, not just separate organs or body systems, and provide examples of AI/ML advances from ophthalmology. For more information go to https://www.nccih.nih.gov/

NLM Title:	Harnessing AI to explore health restoration in diabetes / Aaron Y. Lee.
Author:	Lee, Aaron Y. National Center for Complementary and Integrative Health (U.S.),
Publisher:
Abstract:	(CIT): One of the promising areas in medical research is the use of artificial intelligence (AI) and machine learning (ML) to analyze large sets of data in order to gain better understanding of the development of disease (pathogenesis) and the restoration of health (salutogenesis). Dr. Aaron Lee is a principal investigator on an exciting data generation project funded through the National Institutes of Health (NIH) Common Fund"s "Bridge to Artificial Intelligence" (Bridge2AI) program. Bridge2AI seeks to create flagship, ethically sourced datasets, as well as best practice guidelines, to help researchers utilize AI/ML methods to address biomedical and behavioral research grand challenges. Dr. Lee"s project, AI-READI, is generating multimodal (i.e., combining various types/contexts of data), high-quality, and ethically sourced data that will be ready for AI/ML methods to study salutogenesis in the context of type 2 diabetes. The study is recruiting participants representing the diverse U.S. population and the spectrum from normal health to severely diabetic. In addition to describing the AI-READI study, Dr. Lee will also discuss researching the health of the whole person, not just separate organs or body systems, and provide examples of AI/ML advances from ophthalmology. For more information go to https://www.nccih.nih.gov/.
Subjects:	Data Science Diabetes Mellitus, Type 2--rehabilitation Machine Learning Prediabetic State--etiology Prediabetic State--rehabilitation Sense of Coherence--physiology
Publication Types:	Lecture Webcast

NLM Classification:	WK 810
NLM ID:	9918916891906676
CIT Live ID:	54899
Permanent link:	https://videocast.nih.gov/watch=54899

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