Penn AI model detects hidden disease signals in CT scans
A preclinical study found that the Percival AI model detected disease signals in CT scans and flagged several conditions more ...
A preclinical study found that the Percival AI model detected disease signals in CT scans and flagged several conditions more ...
An enhanced YOLOv11 model developed for printed circuit board inspection achieved mean average precision of 96.1% at an intersection-over-union threshold ...
Every step we take is a negotiation between the body and its senses. The inner ear tracks head rotation, the ...
In the drought-prone savannas of Northern Ghana, the difference between a failed maize crop and a decent harvest may hinge ...
Cardiovascular disease and stroke kill millions every year, yet medicine still waits for the first symptom before acting. A team ...
Artificial intelligence can now watch a student's body move, measure every joint angle, and issue a corrective cue within seconds. ...
Granite has long been prized as one of the toughest building materials available to engineers. Its high hardness, abrasion resistance ...
A secondary analysis of the SABE survey establishes the first population-specific percentile reference values for usual gait speed in Colombian ...
Artificial intelligence systems that read medical images are usually celebrated for what they catch. Far less attention is paid to ...
The distinction between breast-level and participant-level output deserves careful attention when interpreting the reported performance figures. In clinical breast imaging, ...
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© 2025 Scienmag - Science Magazine