Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Cervical cancer detection has witnessed significant advancements through the integration of deep learning techniques into medical imaging and diagnostic procedures. Modern deep learning methods ...

By harnessing deep learning algorithms, AI is now able to replicate human-like interpretation of medical images, resulting in more accurate detection of cervical cancer.

Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...

Using these complex patterns from individuals with and without cancer, the researchers taught a machine learning model to identify molecular signatures associated with the four types of cancer.

The artificial intelligence method was used to optimize an early cancer detection test to ensure high sensitivity and specificity.

The Federal Capital Territory Administration (FCTA) has acquired its first colposcopy machine, marking a significant step in combating cervical cancer and improving health outcomes in the region ...