Michael Schweitzer
Johns Hopkins University, Universität der Bundeswehr München, Johns Hopkins Hospital
Papers
6
Total Citations
130
H-Index
4
About
Dr. Michael Schweitzer is a leading figure in bariatric and minimally invasive surgery, with a research focus that bridges clinical outcomes and technological innovation. His most impactful work leverages large-scale databases to evaluate the safety and efficacy of robotic versus laparoscopic approaches for weight-loss procedures. A landmark 2018 study, using the MBSAQIP database and cited 87 times, provided a propensity-matched comparison of robot-assisted and laparoscopic gastric bypass and sleeve gastrectomy, offering critical insights into perioperative outcomes. Dr. Schweitzer has continued this line of inquiry, examining how advances in robotic technology translate to improved patient results over time (2023, 11 citations) and identifying predictors of postoperative bleeding (2024, 4 citations). Beyond bariatrics, his earlier work in computer vision explored efficient keypoint matching for robot vision using GPUs (2009, 18 citations), demonstrating a foundational interest in the computational challenges of autonomous systems. He has also surveyed practice patterns among Fellowship Council alumni to understand the adoption of minimally invasive approaches in complex GI surgery (2019, 4 citations). Through these contributions, Dr. Schweitzer has shaped evidence-based practice in robotic bariatric surgery while maintaining a broader perspective on the role of technology in surgical care.
Research Focus
Key Achievements
Top Papers
- 1
- 2Efficient keypoint matching for robot vision using GPUs18 citations · 2009
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- 4Making Robot Learning Controllable: A Case Study in Robot Navigation6 citations · 2005
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