Source: NVIDIA For years, AI in surgery lived on screens. It read scans. It predicted outcomes. Now it steps into the room. NVIDIA just released open physical AI models built specifically for healthcare robotics. Open H is the largest surgical robotics dataset ever assembled, with over 700 hours of real surgical video. Cosmos H generates synthetic surgical scenes to train robots faster. GR00T H turns spoken clinical commands into robot motion. CMR Surgical, Johnson & Johnson

University of Bern A wound gets sutured. The surgery is over. But the riskiest hours haven't started yet. In Bern, researchers developed an AI model named CARESCORE that analyzes vital signs collected during surgery, including blood pressure, heart rate, and oxygen saturation. Within seconds of the last stitch, it calculates a patient's infection risk. Trained on over 10,000 surgeries. More accurate than models that only look at pre-op data. It won't replace a surgeon's judgm

Paramedics call ahead during trauma transport. That call is often the only information the hospital gets. More than 98% of the words in these calls are nonmedical. The rest gets lost in noise, static, and time pressure. A new study tested an AI model on pediatric trauma calls. It stripped the noise and compressed each transcript by 80%. Accuracy matched trauma staff. Here's the real finding. When trauma staff were exposed to the AI's read after making an incorrect triage deci