At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

Machine learning is helping cyber teams process telemetry at scale to more quickly identify behavioral anomalies that might ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

xIt would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient’s condition rapidly deteriorates or shows vitals in highly abnormal ...

Using infrared light and machine learning, researchers have developed a method to effectively screen human health and its deviations at a population level. Envision a scenario where a single drop of ...

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using ...

From automating administrative tasks to clinical decision support, the use cases for artificial intelligence in healthcare continue to multiply. One unique approach is the use of natural language ...

Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.

PanGIA Biotech, Inc. ("PanGIA Biotech" or "Company") announced that two research abstracts have been accepted for ...