Tag: artificial intelligence

Chattanooga Research Team Plays Pivotal Role in International Study of AI-Guided Colonoscopy System

Written by Lee Ferguson

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Research

Researchers at the University of Tennessee Health Science Center College of Medicine in Chattanooga were part of a major multicenter international study just published in the journal Lancet Digital Health. The study evaluated the effectiveness of a new Artificial Intelligence (AI) system for detecting polyps in screening and surveillance colonoscopy. Arslan Kahloon, MD, associate professor and… Read More

2023 Norfleet Forum to Focus on Artificial Intelligence in Health Care

Written by Peggy Reisser

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Clinical CareEducationPublic ServiceResearch

The 2023 Frank Norfleet Forum for the Advancement of Health is set for Friday, October 20, from 7:30 a.m. to 3 p.m., at the University of Tennessee Health Science Center. Held for the first time since the COVID-19 pandemic, this prestigious health forum will focus on artificial intelligence (AI) in health care and how it… Read More

UTHSC’s Yousefi Receives $2.2 Million To Develop AI Aimed at Predicting Glaucoma Risk

Written by Lee Ferguson

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Research
Dr. Siamak Yousefi

Siamak Yousefi, PhD, assistant professor in the Department of Ophthalmology and the Department of Genetics, Genomics, and Informatics at the University of Tennessee Health Science Center, is the principal investigator on a $2.2 million award from the National Eye Institute to develop artificial intelligence (AI) to predict genetic risk of glaucoma. Glaucoma, a complex blinding… Read More

Paper by UTHSC’s Yan Cui Lab on Equitable Artificial Intelligence for Health Care Published in Nature Communications

Written by Jackie Denton

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Clinical CareResearch

Artificial intelligence (AI) has steadily become a part of our everyday lives. Over the past several years, AI is increasingly being applied to biomedical research and in clinical care, however current methods being used in developing AI for biomedical research and clinical decisions may generate new health care disparities. In the paper published recently in… Read More

Rishi Kamaleswaran Has Paper Hightlighted in Psychological Measurement Journal

Written by Amber Carter

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Research

A paper by Rishi Kamaleswaran, PhD, about the use of artificial intelligence (AI) to classify cardiac arrhythmia made the 2018 highlights section of the scientific journal, Psychological Measurement. Dr. Kamaleswaran is an assistant professor in the Department of Pediatrics in the College of Medicine at the University of Tennessee Health Science Center (UTHSC). “I developed… Read More