The future of paediatric obstructive sleep apnoea assessment: Integrating artificial intelligence, biomarkers, and more.
Exploring innovative methods for diagnosing pediatric obstructive sleep apnea. 🤖🛌 Advances in AI and biomarkers show promise! 🌟
El Camino Health Achieves $850K Savings in RN Replacement Costs with New Management Platform
El Camino Health saves $850K in RN replacement costs through a new management platform, enhancing nurse manager efficiency. 💰👩⚕️
Robert F. Kennedy Jr. Advocates for AI Solutions in Rural Healthcare
Robert F. Kennedy Jr. supports AI to improve rural healthcare access and efficiency. 🤖🏥
Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data.
Wearable tech enhances risk assessment for pulmonary complications post-cardiac valve surgery. Study shows improved predictive performance. 📈💓
The Digital Health Competencies in Medical Education Framework: An International Consensus Statement Based on a Delphi Study.
Digital health education is crucial for future physicians. 🌍 The DECODE framework outlines essential competencies for medical curricula. 📚
New Digital Mental Health Support for Lymphoedema Patients in Wales
New digital mental health support for lymphoedema patients in Wales aims to address emotional challenges. 🧠💚
Optimizing dental implant identification using deep learning leveraging artificial data.
Deep learning enhances dental implant classification accuracy. 📈 Artificial images improve performance in X-ray analysis. 🦷
Sam Neville Appointed to Highland Marketing Advisory Board
Sam Neville joins Highland Marketing Advisory Board, bringing 30 years of nursing experience and a focus on digital health. 🏥💻
Digitalization of health care in low- and middle-income countries.
Digital health in low- and middle-income countries is crucial for equitable care. 🌍💻 Explore governance, infrastructure, and security challenges.
Evaluating AI Technologies in Healthcare: Insights from UVA Health
Evaluating AI in healthcare is crucial for patient safety and ethical outcomes. Key risk categories include correctness, fairness, workflow integration, and privacy. 🏥🤖