TLDR: Johnson & Johnson MedTech has announced the first grant recipients of its Polyphonic AI Fund for Surgery, awarding Mayo Clinic and QAS.AI for their innovative artificial intelligence solutions aimed at transforming surgical care. This initiative, supported by NVIDIA and Amazon Web Services, seeks to accelerate AI development in the operating room.
SANTA CLARA, Calif. – October 27, 2025 – Johnson & Johnson MedTech, a global leader in surgical technologies, today announced significant progress in its Polyphonic™ AI Fund for Surgery by awarding its inaugural grants. Mayo Clinic and QAS.AI have been selected as the first recipients, receiving funding, expert mentorship, and access to computing tools and technologies to advance their groundbreaking AI innovations in surgical care.
The Polyphonic AI Fund for Surgery was initially launched in June 2025 as a collaborative effort with industry giants NVIDIA and Amazon Web Services (AWS). The fund’s primary objective is to accelerate the development and secure integration of artificial intelligence solutions into operating rooms worldwide, building on Johnson & Johnson MedTech’s Polyphonic Digital Ecosystem.
Shan Jegatheeswaran, SVP, Global Head of Digital, MedTech, Johnson & Johnson, emphasized the collaborative spirit behind the initiative, stating, “The Polyphonic AI Fund is about a global community rallying around the potential of AI to transform surgery.” He added, “The passionate response we received in the first QuickFire Challenge reflects the growing excitement around surgical AI. We can now build on this response through the Polyphonic AI Fund to support an open developer community and create more opportunity to advance promising projects.”
The QuickFire Challenge program, a cornerstone of the fund, invited submissions from a diverse range of innovators, including academics, researchers, startups, developers, and established companies across 29 countries. Projects submitted focused on critical areas such as perioperative decision-making, surgical efficiency, and data management and governance. Many proposals explored multimodal AI, integrating various data types like video, imaging, audio, and clinical data to enhance surgical precision and decision-making. Other key themes included reducing variability in outcomes, improving interoperability and scalability, and ensuring regulatory readiness for AI solutions.
Mayo Clinic’s awarded project focuses on developing a computer vision model designed to detect surgical site infections and a broad spectrum of post-operative wound complications across various surgical specialties. Meanwhile, QAS.AI is developing real-time decision support tools that analyze intra-operative vascular imaging data. These tools are intended to assist clinicians in making faster, more informed decisions during and after vascular procedures.
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Recipients of the QuickFire Challenge grants can receive up to $100,000 in funding, alongside mentorship and access to advanced computing resources, development tools, and datasets provided by Johnson & Johnson MedTech, NVIDIA, and AWS. This initiative underscores the growing convergence of medical technology, cloud computing, and machine learning to drive efficiency and real-time decision support in surgical environments. The fund will continue to accept applications on a rolling basis, with awards announced quarterly through the end of 2026.
