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Artificial Intelligence Accurately Classifies Pancreatic Cysts
Proof-of-concept study shows ChatGPT-4’s ability to generate and classify diagnostic variables from electronic medical data.
Using the AI ChatGPT-4 platform to extract and analyze specific data points from the Magnetic Resonance Imaging (MRI) and computed tomography (CT) scans of patients with pancreatic cysts, researchers found near-perfect accuracy when compared directly against the manual approach of chart review performed by radiologists, according to a study published in the Journal of the American College of Surgeons (JACS). “ChatGPT-4 is a much more efficient approach, is cost effective, and allows researchers to focus on data analysis and quality assurance rather than the process of reviewing chart after chart,” said study coauthor Kevin C. Soares, MD, MS, a hepatopancreatobiliary cancer surgeon at Memorial Sloan Kettering Cancer Center in New York City. “We want to limit the number of patient visits, costs to the health care industry, and ultimately provide a customized, rather than one-size-fits-all approach to surveillance.”
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