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

Lunit (KRX:32813), a leading provider of AI for cancer diagnostics and precision oncology, today announced that 21 studies featuring its AI solutions will be presented at the European Congress of ...

Photonic crystal sensor shows over 91% accuracy for cervical cancer screening, maintaining performance across varied ...

Artificial intelligence has a critical role to play in supporting clinicians beyond the initial breast cancer diagnosis. At the European Society of Breast Imaging (EUSOBI) annual scientific meeting in ...

“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 ...

Artificial intelligence is transforming medicine, but what does that mean for breast cancer screening? Researchers at UMass Chan Medical School are exploring how an AI-based tool might help identify ...

Artificial intelligence (AI)-supported mammography identifies more cancers during screening and reduces the rate of breast cancer diagnosis by 12% in the years following, finds the first randomised ...

Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...