Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...

“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 ...

A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...

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

Cancer biology is a rapidly evolving field, with pathology and biomarker research at the forefront of innovations in ...

—In this study, molecular classification of endometrial cancer with cervical stromal invasion was associated with recurrence-free survival by univariate analysis. But after controlling for tumor stage ...

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 ...

{image id=1352663 align=left size=large byline=true caption="The Massachusetts General Hospital, home to Mass Eye and Ear and part of the Mass General Brigham system ...