Get Instant Summarized Text (Gist) An AI-enabled ECG algorithm accurately detected left ventricular systolic dysfunction (LVSD) in Kenyan adults, with a sensitivity of 95.6%, specificity of 79.4% ...

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and ...

Their study—"Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach"—was published in the Journal of Management Information Systems and focuses on ...

Abstract: In this study, we propose an improved learning strategy utilising a Hybrid ResNet-RNN model for the early detection of diabetic retinopathy using ResNet-50 for feature extraction and a ...

With the outbreak of the COVID-19 pandemic, attention began to focus on how AI could improve public health, specifically pathogen detection ... by combining multiple algorithms simultaneously.

Automated Depression Detection (ADD) systems using text and audio offer scalable mental health assessment solutions. This review systematically evaluates 65 studies published between 2018 and 2024, ...

Zhang emphasizes that the "deep knowledge-aware depression detection framework" has potential applications for individuals, as well as public health professionals, policymakers and researchers. Social ...

The source code for Depression Detection on Online Social Network with Multivariate Time Series Feature of User Depressive Symptoms paper, accepted at ESWA 2023. In recent years, depression has ...