# AI advancements in non-invasive medical diagnostics > Live situation record from CLSTR: https://clstr.news/situations/ai-advancements-in-non-invasive-medical-diagnostics > Updated: 2026-08-25T10:42:43.000Z. Sources: 5. Developments: 2. Researchers are developing artificial intelligence and wearable technologies to enable non-invasive medical monitoring and diagnostics. Initial developments at Johns Hopkins University include AI-driven wearable sensors designed to monitor blood pressure. This technology aims to provide a non-invasive alternative to invasive arterial catheters in intensive care units and operating rooms, potentially reducing risks such as bleeding and infection while allowing for greater patient mobility. Further advancements include an AI tool from the Mayo Clinic that uses standard ultrasound videos to identify heart blockages in patients with hypertrophic cardiomyopathy. Additionally, researchers from the University of Tokyo and the Institute of Science Tokyo have developed a machine-learning algorithm that utilizes facial and palm video analysis to detect hypertension and diabetes by analyzing pulse-wave dynamics and skin blood-flow patterns. ## Timeline ### 2026-08-25: AI advancements enable non-invasive detection of heart blockages and chronic diseases New AI developments are enabling non-invasive medical screenings, including detecting heart blockages via ultrasound and identifying hypertension and diabetes through facial video analysis. 3 sources. https://clstr.news/cluster/ai-advancements-enable-non-invasive-detection-of-heart-blockages-and-chronic-diseases ### 2026-08-17: Johns Hopkins researchers develop AI wearable sensors for blood pressure monitoring Johns Hopkins University researchers have developed AI-powered wearable sensors that can monitor blood pressure as accurately as invasive arterial lines, reducing risks of infection and clotting. 2 sources. https://clstr.news/cluster/johns-hopkins-researchers-develop-ai-wearable-sensors-for-blood-pressure-monitoring --- Cite as: AI advancements in non-invasive medical diagnostics. CLSTR, https://clstr.news/situations/ai-advancements-in-non-invasive-medical-diagnostics