Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

Researchers led by the University of Cincinnati’s Anna Kruyer and the University of Houston’s Demetrio Labate have published ...

Rice researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially ...

MIT researchers have created a periodic table that shows how more than 20 classical machine ... images 8% better than another ...

AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...

MACHINE learning could reshape how clinicians assess focal bone lesions, offering a more consistent and data-driven ...