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. 📊🧠
Artificial intelligence in myeloid malignancies: Clinical applications of machine learning in myelodysplastic syndromes and acute myeloid Leukemia.
AI transforms myeloid malignancies: ML enhances diagnosis, prognosis, and treatment in AML and MDS. 📊🔬
AI Model Suggests 40% of Breast Cancer Patients May Skip Axillary Surgery
AI model suggests 40% of breast cancer patients may avoid axillary surgery. This could reduce unnecessary procedures. 🤖💉
Implementation of a Digital Health Intervention (CHAMP) for Self-Monitoring of Hypertension: Protocol for 3 Interlinked Implementation Studies.
Digital health intervention CHAMP aims to enhance hypertension self-management through AI chatbots and clinical support systems. 📊💡
AI Tool Predicts Long-Term Disease Risks Using Health Records
AI model predicts long-term disease risks using health records, forecasting over 1,000 conditions decades in advance. 📊🩺
Comprehensive deep learning-assisted multi-condition analysis of knee MRI studies improves resident radiologist performance.
Deep learning enhances knee MRI analysis, boosting radiologist accuracy by 10% and achieving AUCs over 0.85 for 8 conditions. 📈🦵
AI Tools Identify High-Risk Asthma in Young Children
AI tools can now identify young children at high risk for severe asthma and respiratory infections. Early detection is crucial. 🌬️👶