Unveiling schizophrenia's neural and mental signatures with machine learning

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Pulmonology Advisor

How Can AI Improve Cardiac Care Within Health Systems? A Conversation With Experts

Faraz Ahmad, MD, and Marie-Noelle Langan, MD, discuss the role of artificial intelligence (AI) for cardiac care within ...
Tech Xplore on MSN

Brain-inspired hardware uses single-spike coding to run AI more efficiently

The use of artificial intelligence (AI) systems, such as the models underpinning the functioning of ChatGPT and various other online platforms, has grown exponentially over the past few years. Current ...

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
AHA/ASA Journals

2026 Guideline for the Early Management of Patients With Acute Ischemic Stroke: A Guideline From the American Heart Association/American Stroke Association

AIM: The “2026 Guideline for the Early Management of Patients With AIS” replaces the “2018 Guidelines for the Early Management of Patients With AIS” and the 2019 update to reflect recent advances in ...
Frontiers

Evolving challenges and breakthroughs in deep learning-driven medical imaging

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...