Comparing the Effectiveness of Artificial Intelligence Models in Predicting Ovarian Cancer Survival: A Systematic Review

Comparing the Effectiveness of Artificial Intelligence Models in Predicting Ovarian Cancer Survival: A Systematic Review

ABSTRACT Background This systematic review investigates the use of machine learning (ML) algorithms in predicting survival outcomes for ovarian cancer (OC) patients. Key prognostic endpoints, including overall survival (OS), recurrence‐free survival (RFS), progression‐free survival (PFS), and treatm...

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Bibliographic Details
Main Authors: Farkhondeh Asadi, Milad Rahimi, Nahid Ramezanghorbani, Sohrab Almasi
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Cancer Reports
Subjects:
artificial intelligence
cancer
machine learning
ovary
survival
Online Access:https://doi.org/10.1002/cnr2.70138
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https://doi.org/10.1002/cnr2.70138

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