Clifford Lindsay

University of Massachusetts Chan Medical School

Papers

Total Citations

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About

Clifford Lindsay is a rising researcher in the field of computer vision and medical image analysis, with a focused interest in real-time surgical assistance and minimally invasive procedures. His most significant contribution to date is the development of a deep learning-based system for real-time object segmentation during laparoscopic cholecystectomy, as detailed in his 2024 paper "Real-time object segmentation for laparoscopic cholecystectomy using YOLOv8." This work leverages the YOLOv8 architecture to enable rapid and accurate identification of anatomical structures and surgical tools in live video feeds, directly addressing the critical need for intraoperative guidance and safety. Although his publication record is early-stage, the paper has already garnered 4 citations, signaling its relevance and potential impact in the surgical robotics and AI-assisted surgery communities. Lindsay’s research bridges the gap between state-of-the-art object detection algorithms and practical clinical applications, aiming to reduce operative risks and improve patient outcomes. As an emerging voice in this interdisciplinary space, his work is a promising step toward smarter, safer operating rooms.