AI Analysis of Body Composition Predicts Cardiometabolic Risks
AI tools can now assess body composition in minutes, predicting cardiometabolic risks more accurately than traditional methods. 🩺📊
Acoustic signatures of organic lesions and the role of artificial intelligence in voice disorder diagnostics.
Acoustic biomarkers and AI enhance voice disorder diagnostics, achieving AUCs of 0.735 and 0.924 for lesions and malignancy. 📊🔍
DCFFNet: A New Dual-channel Cross-Feature Fusion Net for Evaluating the Degree of Aortic Valve Calcification Based on Echocardiographic Images.
Revolutionary AI model achieves 96.79% accuracy in aortic valve calcification assessment using echocardiographic images! 🫀📊
Use of artificial intelligence tools by audiologists and speech-language therapists: an international survey of academicians.
AI tools in audiology & speech therapy: 68% usage among academicians, yet concerns on data authenticity persist. 📊🤖
A Window Into Vulnerability and Support: At-Risk Mothers’ Perinatal Experiences and Perspectives on mHealth-Based Care.
Exploring mHealth's Role in Supporting At-Risk Mothers' Perinatal Experiences 📱🤱
Weekly Health & AI Digest – October 20, 2025
Here are the latest breakthroughs in health & AI (October 20, 2025 week) 🔹 Shaping the Clinician II: Artificial Intelligence-Taught Endodontic Skills. AI in Endodontics: Enhancing Skills with Machine Learning & VR 🌐🦷 ——- 🔹 Prediction of suicidal ideation and...
Shaping the Clinician II: Artificial Intelligence-Taught Endodontic Skills.
AI in Endodontics: Enhancing Skills with Machine Learning & VR 🌐🦷
Prediction of suicidal ideation and depression in the general population with subthreshold insomnia using machine learning models.
Machine learning models effectively predict suicidal ideation and depression in insomnia patients. Study shows AUROC scores of 0.78-0.82. 📊🧠