PH-LLM Turns Wearable Data into Practical Sleep and Fitness Coaching Wearables now collect rich sleep and activity data, but most users still struggle to translate those numbers into helpful actions. A new study in Nature Medicine presents the Personal Health Lar... AI healthcare Artificial Intelligence Large Language Models
AI in Radiology: RadGPT is Making Medical Reports Patient-Friendly Medical reports, especially those in radiology, are often filled with terminology that can overwhelm even the most diligent patient. Now, Stanford researchers are changing the landscape with RadGPT , ... AI healthcare large language models medical reports patient communication RadGPT radiology Stanford research
AI is Disrupting Medical Diagnostics: Surpassing Human Expertise and Reducing Costs Imagine solving the toughest medical mysteries faster and more accurately than ever before. This is becoming reality as advanced AI systems are now outperforming even experienced clinicians in diagnos... AI benchmarking AI healthcare clinical reasoning cost efficiency future of medicine generative AI medical diagnostics
AI Orchestration in Healthcare: Teamwork with Multi-Agent Collaboration What if artificial intelligence (AI) collaborated alongside clinicians, reflecting the teamwork required in real-world care. Microsoft’s Healthcare Agent Orchestrator is working on this feat of ... AI healthcare clinical decision support collaborative workflows explainable AI healthcare AI models Microsoft Teams integration multi-agent systems Semantic Kernel
ChatEHR Is Improving Clinician Access to Medical Records at Stanford What if clinicians no longer needed to wade through lengthy patient charts and notes? Thanks to Stanford Medicine’s new ChatEHR pilot, we may soon be able to find out. ChatEHR, an AI-powered platform,... AI healthcare ChatEHR clinical workflow electronic health records health technology medical innovation patient care Stanford Medicine
How Foxconn and NVIDIA Are Transforming Hospitals With Smart Robotics The global healthcare industry faces a daunting challenge: a projected shortage of 4.5 million nurses by 2030. To meet this crisis, Foxconn and NVIDIA are joining forces to introduce advanced robotics... AI healthcare digital twins Foxconn medical imaging nursing shortage NVIDIA robotics smart hospitals