APPROACHES TO THE USE OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS, STAGING, AND RISK STRATIFICATION OF ENDOMETRIAL CANCER: A LITERATURE REVIEW
Relevance: Endometrial cancer (EC) is one of the most common malignant neoplasms of the female reproductive system in developed countries. Despite a relatively favorable prognosis when detected early, diagnosis at preclinical stages remains challenging, especially in patients with obesity, metabolic disorders, and conc...