Advancing Endometrial Cancer Prediction with Artificial Intelligence: A Study on Women's Risk Stratification
DOI:
https://doi.org/10.48047/23aa5k88Keywords:
Artificial intelligence, Diagnostic algorithm, Endometrial cancer, Machine learning, Risk stratification, Women's healthAbstract
Endometrial cancer is the sixth most common cancer in women globally, necessitating improved predictive tools. This study evaluates artificial intelligence (AI) models for enhancing risk stratification in pre- and postmenopausal women. This retrospective cohort study was conducted at Saveetha Medical College and Hospital between January 2019 and May 2024, including 227
consecutive female patients aged ≥30 years with symptoms warranting endometrial evaluation. Patients were randomly divided into training and validation sets (80:20).
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Dossus, L., Kouloura, E., Biessy, C., Viallon, V., Siskos, A. P., Dimou, N., Rinaldi, S., Merritt, M. A., Allen, N., Fortner, R., Kaaks, R., Weiderpass, E., Gram, I. T., Rothwell, J. A., Lécuyer, L., Severi, G., Schulze, M. B., Nøst, T. H., Crous-Bou, M., Sánchez, M. J., Keun, H. C., 2021, Prospective analysis of circulating metabolites and endometrial
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