Healthcare Robotics and Physical AI: Data, Simulation, and Autonomous Surgery

The session examines how physical AI is being applied to healthcare robotics, with a focus on surgical robotics, hospital automation, and hard-tissue procedures. Speakers from clinical and industry backgrounds discuss the data bottleneck in healthcare robotics and the tools and workflows being developed to address it, including foundation models, synthetic data, and simulation.

■ Data pipelines and surgical data
- Curation, annotation, ontologies, and long-tail gaps in healthcare data
- Open-H dataset, synthetic data generation, and simulation for training

■ Surgical robotics and autonomy
- Surgeon training, gesture frameworks, and autonomous suturing
- Gallbladder surgery, partial nephrectomy, and laparoscopic subtasks

■ Simulation, models, and deployment
- NVIDIA Cosmos, Isaac Sim, GR00T, and world models
- Moon Surgical Maestro, Lamb Surgical, and regulated deployment

The session is aimed at engineers, researchers, clinicians, and product teams working on healthcare robotics and medical AI. Viewers can expect an overview of current approaches to data, simulation, and autonomy in surgical and clinical robotics.