Post by Annelie Stapela

A major gap in Edge AI and Physical AI in healthcare today is execution governance. As AI moves closer to the patient through diagnostics, medical devices, robotic intervention, and autonomous clinical workflows, the focus is often on speed, model performance, and real time decision making. What is often missing is what governs whether execution is permitted. How do you prove the right conditions held true before a treatment adjustment, a batch release, a robotic action, or a patient impacting decision was allowed to happen. Prof. Dr. Florian Turk and the team at Microwave Solutions GmbH have already solved this in industrial Physical AI systems where execution control is critical and physical consequences are real. The same principle applies directly to healthcare. If you are working in Edge AI, Physical AI, clinical AI, robotics, or regulated autonomous systems in healthcare, this is a conversation worth having. Please feel free to reach out to Prof. Dr. Florian Turk Novitalis AG #PhysicalAI #EdgeAI #HealthcareAI #ExecutionGovernance #AIinHealthcare #ClinicalAI #DigitalHealth