Work

Artificial Intelligence in Ovarian Cancer: Current Advances and Perspectives

Year: 2025

Type: article

Abstract: ABSTRACT Ovarian cancer is a commonly encountered gynecological malignancy and an important health problem in the female population worldwide. Artificial intelligence (AI) has been rapidly developing in oncology, with promising achievements in terms of facilitating personalized care and improving patient survival in women with ovarian cancer. This review summarizes the present application of AI‐based techniques in ovarian cancer, with a focus on radiological imaging. It provides detailed information on the use of radiomics and deep learning‐based models in the clinical management of this disease. It also discusses current challenges, including interpretability, generalizability, and ethical and regulatory considerations, as well as future perspectives regarding the clinical use of AI‐powered tools in ovarian cancer.

Source: Medicine Advances

DOI: 10.1002/med4.70036

Authors: Zijing Lin, Jinwei Qiang, Yajia Gu, Haiming Li

Institutions: Fudan University Shanghai Cancer Center, Jinshan Hospital of Fudan University

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: Shanghai Anti-Cancer Association