AI unlocks previously invisible cortical lesions in MS using legacy MRI scans

One of the uncomfortable truths about multiple sclerosis is that the part of the brain likely to reveal the most about the ...
Frontiers

Artificial Intelligence and Multimodal Imaging of the Temporomandibular Joint: From Morphology to Clinical Decision Support

The field of orofacial medicine increasingly recognizes the temporomandibular joint (TMJ) as a complex anatomical and functional unit whose disorders can ...
News-Medical.Net

Advancing Motor Neuron Disease Diagnosis with Non-Invasive Ultrasound and AI

Tole combines ultrasound and AI to improve motor neuron disease diagnosis, reducing reliance on invasive procedures.

AI maps 991 aromatic plants, identifies scent compounds that may improve sleep

Food scientists at the National University of Singapore (NUS) have used machine learning to sift through more than 2,300 ...
Scientific American

Is AI ruining our skills? Early results are in—and they’re not good

Reliance on artificial-intelligence tools degrades the abilities of physicians and software engineers, studies show ...
IEEE

Learn From Examples: In-Context Learning for Camouflaged Object Detection

Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...
IEEE

DrowsiGuard: Machine Learning-Based Driver Drowsiness Detection System for Enhanced Road Safety

Abstract: Drivers need to stay focused on the road to respond quickly to unexpected situations. Fatigue is a significant factor in many traffic accidents. Therefore, it's important to have measures ...