Advancements in Cough Detection Technology for Health Monitoring
Advancements in cough detection technology enhance health monitoring. Improved accuracy aids in managing respiratory conditions. π€π
November 16, 2025
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Discover the newest research about AI innovations in π± Mobile Health.
Opportunities for digital health innovations to address patient-centered priorities in racialized pediatric populations: A qualitative study in British Columbia, Canada.
Exploring digital health innovations for equitable pediatric care in racialized communities. π±πΆ Insights from a BC study.
November 13, 2025
Factors influencing Home Care Nurses’ Behavioral Intension to Use Digital Healthcare.
Home care nurses show strong intent to adopt digital healthcare, influenced by social support and effort expectancy. ππ»
November 6, 2025
AI Tool Analyzes Social Media to Identify Health Risks
AI tool “Waldo” analyzes social media for health risks, achieving 99.7% accuracy in identifying adverse events. ππ‘
October 28, 2025
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 π±π€±
October 20, 2025
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. ππ‘
October 19, 2025
Technologies and emerging trends in wearable biosensing.
Wearable biosensors transform health monitoring with IoT, AI, and nanomaterials. Future trends include AR/VR integration and self-healing tech. ππ‘
October 16, 2025
Mersey Care Introduces Digital Support Platform for Young People with Anorexia
Mersey Care launches TRIANGLE, a digital platform for young people with anorexia, offering resources and support for families. π±π
October 7, 2025
A Trust-Aware Architecture for Personalized Digital Health: Integrating Blueprint Personas and Ontology-Based Reasoning.
Exploring a Trust-Aware Architecture for Personalized Digital Health: Key Insights from Recent Research π₯π
October 6, 2025
Electrocardiogram heart rate variability for machine learning diagnosis of obstructive sleep Apnoea: A bayesian meta-analysis.
Machine learning models using ECG-derived HRV show 79% sensitivity & 75% specificity for diagnosing obstructive sleep apnoea. ππ€
October 1, 2025