Artificial Intelligence in Gynecological Oncology from Diagnosis to Surgery

Abstract

Artificial intelligence (AI) is revolutionizing modern medicine, particularly in the field of gynecological oncology, where its applications extend across diagnostics, prognostics, and treatment planning. This comprehensive overview explores the latest advancements and persistent. challenges in integrating AI into both clinical and surgical practices. In diagnostics, AI-driven innovations, particularly biomarker-based approaches, have significantly enhanced early detection and personalized treatment strategies. However, despite these advancements, the adoption of AI in surgical applications, such as ovarian cancer surgery, has been comparatively slower. This disparity highlights the need for further research, validation, and integration of AI-driven tools into surgical workflows to optimize precision, patient outcomes, and overall clinical decision-making in gynecological oncology.