AI Health & Biotechnology

UNR Professors Lead $1M Medical AI Research Project

NSF grant funds University of Nevada, Reno initiative to improve AI reliability for cancer and sleep diagnostics.

By Kronos News Desk··1 min read
A computer monitor in a research laboratory displays a medical mammogram with artificial intelligence data overlays.

A computer monitor in a research laboratory displays a medical mammogram with artificial intelligence data overlays.

Photo: Kronos News

Assistant Professor Ankita Shukla and Professor George Bebis from the University of Nevada, Reno are leading a $1 million research initiative [1]. The National Science Foundation funded this project to enhance the reliability of artificial intelligence in real-world clinical environments [1]. Researchers aim to create safer and more equitable clinical AI tools for healthcare providers [1]. The project focuses on three specific medical applications to ensure better diagnostic accuracy [1]. These areas include breast cancer detection through mammography, medical text analysis, and sleep disorder diagnosis [1]. This research addresses the critical need for dependable AI systems that can handle complex clinical data [1].

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The story relies on a single source domain (unr.edu), which fails the recommendation for three independent domains.

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Kronos News Desk covers ai health & biotechnology and editorial analysis for Kronos News.