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.

A large-scale analysis of millions of cancer studies has uncovered patterns suggesting that a significant portion of the literature may not be as reliable as it appears.

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

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable ...

Rutgers Develops New Tool for Examining Cancer Genomic Data that Could Improve Treatment When scientists sequence tumor DNA, ...

Nuclear medicine is a rapidly evolving domain at the intersection of advanced radiopharmaceuticals, hybrid imaging modalities such as PET/CT and PET/MR, and ...

In the evolving landscape of oncology, skin cancer diagnosis stands out as a domain where the synergy between AI and multimodal imaging is rapidly changing ...