Marian Obuseh

About

Marian Obuseh is a pioneering researcher at the intersection of surgical performance, human factors, and artificial intelligence. Her work focuses on enhancing surgical safety and quality by developing innovative frameworks for assessing and coaching surgeons’ non-technical skills (NTS)—the cognitive and interpersonal abilities critical to effective performance in the operating room. Obuseh’s major contributions include the creation of a structured NTS coaching intervention for surgeons, demonstrated in a pilot quality improvement initiative (9 citations), and the groundbreaking application of large language models (LLMs) to automate NTS evaluation and coaching, as shown in her 2025 feasibility study (4 citations). She has also advanced surgical human-robot interaction through a bibliometric review (8 citations) and introduced sensor-based frameworks for optimizing operating room layout and workflow (6 citations). Notably, her neural insights into expert surgeons’ mental workload during live robotic surgeries (4 citations) reveal dynamic cognitive demands that traditional questionnaires miss. With a growing citation impact and a forward-looking portfolio, Obuseh is shaping the future of safer, smarter surgery through data-driven, human-centered innovation.

Research Focus

Key Achievements

Top Papers

1. 1
   Development and application of a non-technical skills coaching intervention framework for surgeons: A pilot quality improvement initiative

   9 citations · 2024
2. 2
   Surgical Human-Robot Interaction: A Bibliometric Review

   8 citations · 2022
3. 3
   A sensor-based framework for layout and workflow assessment in operating rooms

   6 citations · 2023
4. 4
   Feasibility of large language models for assessing and coaching surgeons’ non-technical skills

   4 citations · 2025
5. 5
   Neural insights on expert surgeons’ mental workload during live robotic surgeries

   4 citations · 2025

Key Collaborators

Contact & Links