Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study.
AI Chatbots in Mental Health: Risks, Trust Issues, and Ethical Concerns 🤖🧠
HeartBeam and AccurKardia Collaborate to Enhance Cardiac Diagnostics
HeartBeam and AccurKardia collaborate to improve cardiac diagnostics with advanced ECG analysis software. 📈❤️
When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes.
Machine learning 🤖 and conventional statistics 📊 enhance health outcome predictions together, as shown in recent research.
The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm.
Machine learning predicts palliative care needs in COPD patients with 92% accuracy. Key factors: BMI, fatigue, activity level, FEV1. 📊💡
New AI Tools Enhance Trust and Usability in Healthcare
New AI tools aim to improve trust and usability in healthcare. 🤖💉 Enhanced patient engagement and streamlined processes are key benefits.
Blue Shield of California Discloses Data Sharing with Google Affecting 4.7 Million Members
Blue Shield of California shared data with Google, affecting 4.7 million members. No sensitive information was disclosed. 📊🔒
Ardent Health’s New CDIO Emphasizes Human-Centric Technology
Ardent Health's new CDIO, Anika Gardenhire, focuses on human-centric technology to enhance patient and provider experiences. 🏥💻
Optimizing machine learning models for predicting anemia among under-five children in Ethiopia: insights from Ethiopian demographic and health survey data.
Machine learning predicts anemia in Ethiopian children: Random forest model achieves 81.16% accuracy! 📊👶