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 ...

Hikers on the Konza Prairie may look up this summer and see something unusual in the air. K-State researchers are employing ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

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

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems ...

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

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

Chandrashekar Althati's patented multivariate classification revolutionizes real-time transaction analysis, driving fraud ...