Oscar MacCormac
Papers
2
Total Citations
7
H-Index
2
About
Oscar MacCormac’s research lies at the intersection of surgical data science, embodied AI, and advanced optical imaging. His primary contributions focus on developing intelligent systems that enhance real-time decision-making in the operating room. Notably, his 2023 work on a deep reinforcement learning framework for intraoperative hyperspectral video autofocusing (5 citations) addresses a critical hardware limitation in handheld real-time hyperspectral imaging, enabling more precise tissue differentiation during surgery. This innovation bridges the gap between high-fidelity spectral data and practical clinical use. More recently, MacCormac introduced MUTUAL (2025, 2 citations), a cross-platform multimodal data recording and streaming software that supports embodied AI in surgical robotics. Successfully deployed in two clinical studies, MUTUAL provides a holistic sensing and inference platform, paving the way for intelligent surgical agents. His work is foundational for next-generation, data-driven surgical environments, demonstrating how AI and advanced imaging can transform intraoperative workflows.
Research Focus
Key Achievements
Top Papers
- 1
- 2MUTUAL: Towards Holistic Sensing and Inference in the Operating Room2 citations · 2025