AN OVERVIEW OF ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS IN OVARIAN CANCER

Abstract

Ovarian cancer ranks as the fifth most common cause of cancer-related mortality in women. The early detection, diagnosis, prognosis, and therapy of ovarian cancer could all be completely transformed by artificial intelligence (AI), which has become a key advancement in oncology. More precise and individualized medical care is made possible by AI's ability to extract clinically relevant information from a variety of data sources by utilizing sophisticated computational algorithms. AI presents numerous chances to improve the treatment of ovarian cancer along the spectrum of care. For clinical translation to be safe, efficient, and equitable in the future, federated learning strategies, explainable AI frameworks, strong validation, and interdisciplinary cooperation will be essential. In this review, we have described about the artificial intelligence and its role to treat ovarian cancer by using several biomarkers and methods of diagnosis like Decision Trees (DT), Random Forest (RF), IG, Gini Index, Support Vector Machine (SVM).