Ascertain Secures $10 Million for AI-Driven Case Management Platform
April 26, 2025Ascertain secures $10 million for its AI-driven case management platform, aiming to reduce administrative burdens in healthcare. 💰🤖
Advancements in artificial intelligence for the diagnosis and management of anterior segment diseases.
April 26, 2025AI in anterior segment disease diagnosis shows 90% accuracy, enhancing personalized care and treatment outcomes. 🤖👁️
Woebot Health to Retire AI Mental Health App
April 26, 2025Woebot Health will retire its AI mental health app on June 30. Users can download conversation history until then. 📅💬
Patient Experience with Intranasal Esketamine in Treatment-Resistant Depression: Insights from a Multicentric Italian Study (REAL-ESKperience).
April 26, 2025Patient experiences with intranasal esketamine show 88.4% report improved quality of life in treatment-resistant depression. 🌟🧠
Eli Lilly Takes Legal Action Against Telehealth Companies for Selling Unapproved Drugs
April 26, 2025Eli Lilly has filed lawsuits against telehealth companies for selling unapproved drugs containing tirzepatide, risking patient safety. ⚖️💊
Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study.
April 26, 2025AI Chatbots in Mental Health: Risks, Trust Issues, and Ethical Concerns 🤖🧠
HeartBeam and AccurKardia Collaborate to Enhance Cardiac Diagnostics
April 25, 2025HeartBeam 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.
April 25, 2025Machine 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.
April 25, 2025Machine learning predicts palliative care needs in COPD patients with 92% accuracy. Key factors: BMI, fatigue, activity level, FEV1. 📊💡