NIH: Artificial Intelligence is able to efficiently diagnose Polycystic Ovary Syndrome
October 22, 2023
Novel study from NIH systematically reviewed 31 articles published on the use of AI in PCOS diagnosis for the past 25 years (1997-2022), which is the most frequent hormone disorder among female patients, usually between ages 15 and 45.
The most important takeaway message is that AI allowed a PCOS detection and diagnosis with great performance, making it a potential tool for significantly increasing the success of identifying PCOS in early stages, improving patient outcomes and reducing treatment costs.
“Given the large burden of under- and mis-diagnosed PCOS in the community and its potentially serious outcomes, we wanted to identify the utility of AI/ML in the identification of patients that may be at risk for PCOS,” said Janet Hall, M.D., senior investigator and endocrinologist at the National Institute of Environmental Health Sciences (NIEHS), part of NIH, and a study co-author. “The effectiveness of AI and machine learning in detecting PCOS was even more impressive than we had thought.”
SOURCE:
CREDITS: NATIONAL INSTITUTES OF HEALTH