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http://dx.doi.org/10.1016/j.ahr.2021.100023 | DOI Listing |
Proc Natl Acad Sci U S A
February 2025
Department of Cellular and Molecular Medicine, University of California, San Diego School of Medicine, La Jolla, CA 92093.
Circulation
January 2025
Department of Internal Medicine, Division of Cardiovascular Medicine, Pauley Heart Center, Virginia Commonwealth University, Richmond.
World J Urol
January 2025
Department of Urology, Kafkas University School of Medicine, Kars, Türkiye.
Transl Behav Med
January 2025
Slone Epidemiology Center at Boston University, 72 E Concord St, Boston, MA, USA.
Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transform health care, medicine, and population health through improved diagnoses, treatments, and patient care. However, the effectiveness of these technologies hinges on the quality and diversity of the data used to train them. Many datasets currently used in machine learning are inherently biased and lack diversity, leading to inaccurate predictions that may perpetuate existing health disparities.
View Article and Find Full Text PDFSleep
January 2025
Professor of Medicine and Physiology & Biophysics, University Hospitals, Cleveland Medical Center, Case Western University School of Medicine, Cleveland OH, USA.
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