Our focus areas include:

• Research and Innovation: Implementing interdisciplinary projects in natural language processing, computer vision, and predictive modeling.
• Clinical and Quality: Embedding AI tools into workflows to reduce variability and improve patient safety.
• Governance and Policy: Building ethical, transparent frameworks for responsible AI adoption.
• Education and Training: Developing an AI-proficient surgical workforce through workshops, simulation, and curricula.

Our current projects include:

• Operative Video Warehouse. A secure framework for learning from thousands of surgical videos to enable rigorous AI research and discovery. AI learns by leveraging vast quantities of data. We are organizing these complicated data streams into an Electronic Surgical Record to enable efficient dialogue between AI systems, thus allowing for future technological breakthroughs.
• Surgeons Training AI Systems. Researching computer vision and edge computing tools in the operating room. When AI tools are used well, they can enhance how surgeons see, think, and act in the operating room. Our surgeons are teaching the AI context-awareness in the operating room to build tools for surgical phase recognition, navigation assistance, and intraoperative decision support.
• Clinical AI. Utilizing AI to transform the way we diagnose and communicate with our patients. We have already published research that is translating into patient benefit. Our ongoing work involves multimodal prediction models for cancer, agentic large language models for frailty assessment, and multi-agent tumor board simulation.

The backbone for our Program for Surgical Intelligence and Innovation is a secure, standardized repository of surgical video and intraoperative data. Working in partnership with the Windreich Department of Artificial Intelligence and Human Health, Digital and Technology Partners, and the AI Ready Mount Sinai Initiative, we leverage Mount Sinai’s vast data science resources integrated with the Minerva supercomputer infrastructure.

From research breakthroughs to bedside application, we are building an innovation pipeline that accelerates AI solutions into clinical practice. We partner with startups, established industry leaders, and academic collaborators to translate discoveries to direct patient benefit.

Responsible AI requires more than innovation—it requires trust. We are committed to:

• Protecting patient privacy and data rights
• Mitigating bias in AI models
• Ensuring tools are explainable and transparent
• Aligning with regulatory standards at every step

By placing ethics at the core, we ensure that surgical AI adoption is safe, equitable, and patient-centered.

We are building a surgical intelligence ecosystem where data, expertise, and innovation converge. Future directions include:

• Real-time risk detection and complication prediction in the OR
• Augmented reality overlays for surgical guidance
• AI-driven video-based assessment and coaching for trainees
• Collaborative global data networks to democratize expertise and advance health equity

By combining our clinical expertise with state-of-the-art AI research, we are not only shaping the future of surgery—we are making it accessible, safe, and impactful for patients everywhere.