Mudathir Ibrahim

Papers

Total Citations

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About

Mudathir Ibrahim is a pioneering researcher at the intersection of artificial intelligence and robotic surgery, with a focused interest in advancing intraoperative autonomy and clinical integration. His most cited work, a comprehensive scoping review published in 2022, systematically maps the current development stages of AI applications in robotic surgery, categorizing them by purpose, level of autonomy, and measured outcomes. This seminal paper, which has garnered 49 citations, provides a critical framework for understanding how AI is evolving from assistive tools toward higher levels of surgical autonomy. Ibrahim’s contributions are particularly notable for bridging the gap between technical development and clinical readiness, offering a taxonomy that helps researchers and surgeons alike navigate the rapidly advancing field. His work highlights the potential for AI to enhance precision, decision-making, and safety during robotic procedures, while also identifying key gaps in validation and real-world implementation. By synthesizing a fragmented body of literature, Ibrahim has established himself as a key voice in shaping the future of autonomous robotic surgery, making his research essential reading for students and professionals working at the forefront of surgical innovation.