This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

“The core AI model developed through this research can be adopted as the brain of a software system to be used to assist the doctors for decision-making in cancer diagnosis," added Shafiabady. "The ...

Pancreatic cancer is one of the hardest cancers to treat, which makes early detection so crucial, now AI is lending a hand to speed up the process.

A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

AI-powered tools in mammography screening deliver groundbreaking improvements in cancer detection, helping radiologists catch more cancers early while reducing unnecessary patient recalls. Study: ...

Innovative diagnostic kit uses fluorescence-based detection to achieve 90% accuracy in identifying early-stage bladder cancer. Study: Diagnosis of early-stage bladder cancer via unprocessed urine ...