A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.

Artificial intelligence could soon help patients make sense of complex medical scan results, making them far easier to understand without losing clinical accuracy, a major new study by the University ...

Digital tools allow archaeologists to identify similarities between fragments and artifacts and potentially recover previously unknown parts of their stories.

Wiremo announces API access for GTrack Local Rank Checker, enabling Business and Pro plan customers to programmatically ...

Parkinson's disease does more than cause tremor and trouble walking. It can also affect sleep, smell, digestion and even ...

Apophenia is the mind’s tendency to find meaning in randomness. It shapes creativity, emotion, and misunderstanding, ...

Doctors used CT scans to study ancient Egyptian mummies, uncovering injuries, aging, and personal details without disturbing ...

BrainIAC analyzes brain scans across diseases, learns from minimal data, offers hope for rare condition diagnosis.

A new study suggests that applying a deep learning algorithm to routine abdominal CT scans could help identify fall risk ...

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

Keck Medicine of USC radiologists use computed tomography (CT) scanners to diagnose and treat patients' diseases and injuries. Recently, however, this advanced technology was put to a far more novel ...

Yet while desktop film scanners and mirrorless scanning kits surged in popularity, drum scanning never truly disappeared. It ...