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

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

Head and neck cancer (HNC) is one of the most common malignancies worldwide, with high morbidity and mortality rates.

Cancer staging is not just a medical label, it defines hope, survival, and dignity. As doctor suggests, early diagnosis saves ...

An AI system improves diagnostic accuracy and specificity in breast MRI, reducing false positives and variability in lesion ...

Research shows diagnostic labels legitimize suffering for some patients but can also increase stigma and anxiety when ...

New research links consumption of ultraprocessed foods to earlier death in cancer survivors — but caveats abound.

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

In a prospective imaging study of 200 adults with lung cancer, photon-counting CT reduced radiation exposure, yielded fewer ...

Investigators sought to train and validate a machine learning model to distinguish paper mill publications from genuine articles and assess the prevalence of paper mill publications.

There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...