G
Guy Rosman
Researcher at Toyota
Publications - 119
Citations - 3000
Guy Rosman is an academic researcher from Toyota. The author has contributed to research in topics: Computer science & Probabilistic logic. The author has an hindex of 24, co-authored 108 publications receiving 1923 citations. Previous affiliations of Guy Rosman include Technion – Israel Institute of Technology & IBM.
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Journal ArticleDOI
Artificial Intelligence in Surgery: Promises and Perils
TL;DR: Surgeons are well positioned to help integrate AI into modern practice and should partner with data scientists to capture data across phases of care and to provide clinical context, for AI has the potential to revolutionize the way surgery is taught and practiced.
Proceedings ArticleDOI
Duckietown: An open, inexpensive and flexible platform for autonomy education and research
Liam Paull,Jacopo Tani,Heejin Ahn,Javier Alonso-Mora,Luca Carlone,Michal Cap,Yu Fan Chen,Changhyun Choi,Jeff Dusek,Yajun Fang,Daniel Hoehener,Shih-Yuan Liu,Michael Novitzky,Igor Franzoni Okuyama,Jason Pazis,Guy Rosman,Valerio Varricchio,Hsueh-Cheng Wang,Dmitry S. Yershov,Hang Zhao,Michael R. Benjamin,Christopher E. Carr,Maria T. Zuber,Sertac Karaman,Emilio Frazzoli,Domitilla Del Vecchio,Daniela Rus,Jonathan P. How,John J. Leonard,Andrea Censi +29 more
TL;DR: Duckietown is an open, inexpensive and flexible platform for autonomy education and research that comprises small autonomous vehicles built from off-the-shelf components, and cities complete with roads, signage, traffic lights, obstacles, and citizens in need of transportation.
Journal ArticleDOI
Computer Vision Analysis of Intraoperative Video: Automated Recognition of Operative Steps in Laparoscopic Sleeve Gastrectomy
Daniel A. Hashimoto,Guy Rosman,Guy Rosman,Elan R. Witkowski,Caitlin Stafford,Allison J Navarette-Welton,David W. Rattner,Keith D. Lillemoe,Daniela Rus,Ozanan R. Meireles +9 more
TL;DR: Artificial intelligence can extract quantitative surgical data from video with 85.6% accuracy, which suggests operative video could be used as a quantitative data source for research in intraoperative clinical decision support, risk prediction, or outcomes studies.
Journal ArticleDOI
Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations
TL;DR: A scoping review of the intersection of artificial intelligence and anesthesia research identified and summarized six themes of applications of Artificial intelligence in anesthesiology: depth of anesthesia monitoring, control of anesthesia, event and risk prediction, ultrasound guidance, pain management, and operating room logistics.
Proceedings ArticleDOI
RGBD-fusion: Real-time high precision depth recovery
TL;DR: A novel method to enhance the depth map by fusing the intensity and depth information to create more detailed range profiles is presented, which operates four orders of magnitude faster than the state of the art.