
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. π©Ίπ
Discover the newest research about AI innovations in Research.

AI tools can now assess body composition in minutes, predicting cardiometabolic risks more accurately than traditional methods. π©Ίπ

Acoustic biomarkers and AI enhance voice disorder diagnostics, achieving AUCs of 0.735 and 0.924 for lesions and malignancy. ππ

Revolutionary AI model achieves 96.79% accuracy in aortic valve calcification assessment using echocardiographic images! π«π

AI tools in audiology & speech therapy: 68% usage among academicians, yet concerns on data authenticity persist. ππ€

Exploring mHealth’s Role in Supporting At-Risk Mothers’ Perinatal Experiences π±π€±

AI in Endodontics: Enhancing Skills with Machine Learning & VR ππ¦·

Machine learning models effectively predict suicidal ideation and depression in insomnia patients. Study shows AUROC scores of 0.78-0.82. ππ§

AI transforms myeloid malignancies: ML enhances diagnosis, prognosis, and treatment in AML and MDS. ππ¬

AI model suggests 40% of breast cancer patients may avoid axillary surgery. This could reduce unnecessary procedures. π€π

Digital health intervention CHAMP aims to enhance hypertension self-management through AI chatbots and clinical support systems. ππ‘