Corinne E Chatham
Papers
1
Total Citations
8
H-Index
1
About
Corinne E. Chatham is a rising researcher at the intersection of artificial intelligence and women’s health, with a primary focus on leveraging machine learning to improve the diagnosis and management of endometriosis. Her most cited work, “Utilizing Artificial Intelligence: Machine Learning Algorithms to Develop a Preoperative Endometriosis Prediction Model” (2025), has already garnered 8 citations, signaling early impact in a field where delayed diagnosis is a critical challenge. Chatham’s major contribution lies in developing predictive models that use clinical and imaging data to non-invasively identify endometriosis before surgery, potentially reducing the need for diagnostic laparoscopy and shortening the diagnostic odyssey for millions of patients. By integrating AI into gynecologic care, she addresses a pressing gap in precision medicine. Her work is notable for its translational focus—bridging computational methods with real-world clinical workflows—and for its potential to reduce healthcare disparities by making endometriosis screening more accessible. As an early-career investigator, Chatham’s research is already shaping how clinicians approach complex pelvic pain, and her growing citation record suggests she is poised to become a leading voice in AI-driven reproductive health.
Research Focus
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Top Papers
- 1