Seeking novel ideas for AI technologies with the potential to enhance surgical care and improve patient outcomes. Cohort #2 application deadline: January 30, 2026.
Polyphonic™ AI Fund for Surgery QuickFire Challenge
The second round of the Polyphonic™ AI Fund for Surgery QuickFire Challenge is now open and accepting applications!
Researchers and innovators in the Surgical Data Science field worldwide are invited to submit ideas for AI technologies that have the potential to improve surgical decision-making, strengthen data management & governance processes, and drive surgical efficiency across the connected operating room.
Have a promising AI-driven innovation with the potential to transform surgical care and improve patient outcomes?
Challenge rewards1
Award funding from a total pool of up to $100,000 USD
Mentorship from experts across Johnson & Johnson
Access to computing tools and technologies to help advance innovations
Areas of interest
Innovators around the world are invited to submit ideas for AI technologies with the potential to enhance surgical care and improve patient outcomes across the following categories:
Surgical decision support: Perioperative AI that augments delivery of care throughout the procedure, reduces cognitive load and has the potential to serve as a surgeon co-pilot.
Data management & governance processes: Efforts pursuing breakthroughs in data infrastructure, privacy & consent management, labeling frameworks, and regulatory research.
Surgical efficiency: AI that boosts coordination across care teams, amplifies care team proficiency and improves patient management all towards enabling seamless delivery of perioperative care.
Specific surgical areas of interest include: Soft tissue surgery including but not limited to colorectal, bariatric, thoracic, urology, gynecology and general surgery.
Applications will be reviewed on a rolling basis, and awardees will be announced quarterly through the end of 2026.
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1Subject to terms and conditions of applicable QuickFire Challenge and execution of an award agreement
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