Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...

Mild cognitive impairment (MCI) and dementia pose significant health challenges in aging societies, emphasizing the need for accessible, cost-effective, and noninvasive diagnostic tools.

Deep learning using multimodal MRI can distinguish Parkinson’s disease from multiple system atrophy with high accuracy, ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

DGIST research team led by Yoonhee Lee and Gyogwon Koo enhances lung cancer diagnostic accuracy by combining exosome physical ...

A recent study published in JAMA has demonstrated that an AI system can reliably interpret echocardiograms with high accuracy ...

A Portland resident and recent Reed College graduate, was arrested by FBI agents after being linked to a photo published in ...

Researchers at The University of Osaka developed a deep learning model for rapid building damage assessment after floods using satellite imagery.

Researchers at Sylvester Comprehensive Cancer Center reveal how body composition analysis predicts treatment response in ...

A research team has developed a novel AI model, ILCD, and a supporting dataset, CDwPK-VQA, to help early diagnose crop diseases.

Introduction The integration of artificial intelligence (AI) into our daily lives has rapidly accelerated, changing the way ...

A research team has developed a technology that distinguishes lung cancer gene mutations solely by measuring the "stiffness" ...