Artificial intelligence in endometrial cancer: multimodal deep learning and future perspectives in precision gynecologic oncology — a structured narrative review
Endometrial cancer (EC) is the most common gynecologic malignancy in developed countries, with a rising incidence driven by obesity, metabolic syndrome, diabetes mellitus, and aging populations. Artificial intelligence (AI) has rapidly advanced in gynecologic oncology, particularly in diagnostic imaging, digital pathol...
E. Lajtman, M. Miškovičová, Peter Dobročan et al.
· Frontiers in Oncology · 0 citations