Johnson & Johnson Funds AI Surgery Tools to Reduce Errors, Speed Training

For years, surgical knowledge and insights remained locked within individual operating rooms, with valuable information from surgical video, device data and clinical insights difficult to share or leverage to improve care across the field. Johnson & Johnson's Polyphonic represents an attempt to break down those silos by creating a unified digital ecosystem that connects operating rooms through data and AI. Raymond Fryrear II, Vice President and Chief Scientific Officer of Polyphonic at Johnson & Johnson, frames the challenge as conducting an orchestra where "the sheet music keeps changing and the instruments are all tuned differently." The Polyphonic AI Fund for Surgery QuickFire Challenge exists to identify and fund innovations that address real clinical problems and can operate at real-world scale—innovations that historically "languish in the gap between cool demos and those that actually change practice in the OR," according to Dr. Fryrear.

The 2026 awardees reflect this focus on practical, operating-room-ready solutions. Curium Life's SurgiMeasure stems from Dr. Vinayak Rengan's frustration with guesswork in pediatric and neonatal surgery; he observed that experienced surgeons could rely on intuition to measure anatomical distances, but less experienced surgeons could not do so with the same accuracy. His tool converts surgical video into geometric data to provide objective measurements, with the end goal of emitting warnings when surgeons approach sensitive tissue. Similarly, C1DO1 emerged from Dr. Julián Varas' research showing that specialized training with detailed feedback could accelerate surgical skill; after just 16 intensive training sessions, new surgeons performed as well as traditionally trained surgeons with five years' experience. By combining Large Language Models with computer vision to review surgical videos and provide personalized feedback, C1DO1 condenses the typical learning curve from hundreds of cases to 10 to 20 cases.