Project Overdose is introducing an artificial intelligence tool that can alert communities about what potentially deadly ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

A new study by researchers at the Icahn School of Medicine at Mount Sinai suggests that artificial intelligence (AI) could ...

Artificial intelligence tools in neuro-oncology demonstrate robust performance in detecting brain metastases and predicting clinical outcomes.

Artificial intelligence (AI) is poised to transform nuclear medicine along multiple, interconnected directions. On the translational side, AI can accelerate ...