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Johnson & Johnson MedTech's challenge seeking AI innovations to improve surgical decision-making, strengthen data management processes, and drive surgical efficiency in connected operating rooms.
Overview
- Grant funding up to $100,000 per selected applicant
- Mentorship from experts across Johnson & Johnson
- Access to computing tools including GPUs and software for accelerated computing, cloud platform services, ML/AI modeling toolkits, and Software Development Kits
- Rolling review process with quarterly award announcements through end of 2026
Priority Areas
- Surgical decision support: Perioperative AI that augments care delivery, reduces cognitive load, and serves as surgeon co-pilot
- Data management & governance processes: Breakthroughs in data infrastructure, privacy & consent management, labeling frameworks, and regulatory research
- Surgical efficiency: AI that boosts care team coordination, amplifies proficiency, and improves patient management for seamless perioperative care
- Soft tissue surgery focus areas: Colorectal, bariatric, thoracic, urology, gynecology, and general surgery
Eligibility & Requirements
- Open to researchers and innovators in Surgical Data Science field worldwide
- Clinical relevance and impact evaluation criteria
- Patient safety and ethical considerations
- Feasibility and implementation assessment
- Innovation and scalability demonstration
- Team expertise and collaboration capabilities
- Regulatory compliance, cost effectiveness, and patient-centered design considerations
Please note: There might be limitation on the number of applicant per institution. Please reach out to Swapneeta Date, Assistant Director, Life Sciences Collaborations if you are planning to apply.
Faculty and researchers interested in applying for these opportunities based on technologies developed or disclosed at Vanderbilt must submit their proposals through the CTTC.