Abstract: Vision Transformers have shown tremendous success in numerous computer vision applications; however, they have not been exploited for stress assessment using physiological signals such as ...

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...

Children are increasingly using AI chatbots for companionship to act out violent and sexual role-play, a new report from a digital security firm has found. Aura’s 2025 State of the Youth survey ...

Use of an ECG patch to remotely screen older patients at moderate-to-high stroke risk demonstrated modest benefits in long-term atrial fibrillation (AFib) diagnosis and anticoagulation exposure, based ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...

Cannabis use showed no significant association with ECG abnormalities in people with HIV infection, although women had higher odds of abnormal ECG findings than men. Men with HIV infection had higher ...

Introduction: The increasing prevalence of type 2 diabetes mellitus (T2DM) requires improved early detection strategies that integrate demographic, clinical, physiological, and pharmacological data.

This project aims to develop a deep learning model capable of predicting the emotional state (stress/no stress) of an individual based on their ElectroCardiogram (ECG) signals. The model has been ...