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One or more keywords matched the following properties of Hashimoto, Daniel
keywords Artificial Intelligence
overview Daniel Hashimoto obtained his B.A. in Biology with a specialization in Neuroscience from Boston University. He earned his MD from the University of Pennsylvania. He also obtained an M.S. in Translational Research with a focus on technology and surgical education for which the majority of his research was conducted at the Imperial College London. He completed a Surgical Education Research Fellowship at MGH as well as a Surgical AI & Innovation Fellowship at MGH and Harvard Medical School. He is currently the Associate Director of Research for the Surgical Artificial Intelligence and Innovation Laboratory (SAIIL). He is interested in surgical education, surgical simulation, surgical technology, and surgical robotics. His research has previously focused on investigating methods of improving the efficiency and quality of technical skills acquisition. He has published on using virtual and augmented reality to assist in the acquisition of surgical technical skills, curriculum development for surgical skills, and the utilization of wearable technology in the operating room. As a general surgery resident at MGH, he co-founded the MGH Surgical Artificial Intelligence and Innovation Laboratory with Dr. Ozanan Meireles and has been collaborating with Professor Daniela Rus and Dr. Guy Rosman of MIT CSAIL to design and develop a computer vision system for real time analysis of laparoscopic surgical video. The goal of this system is to augment surgical decision-making by providing clinicians with real-time, intraoperative probabilistic estimates of complications. He is the co-founder and former co-course director of the Harvard Surgical Program in Innovation (SPIN), which aims to educate surgeons on the innovation design process. He has conducted research with grant funding from the NIH, the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES), the Natural Orifice Surgery Consortium for Assessment and Research (NOSCAR), and the Society for Vascular Surgery, among others. He has helped VC and technology firms evaluate surgical applications for VR, AR, and AI technologies. He holds leadership positions in several national organizations, including the Board of Directors of the Association of American Medical Colleges (AAMC) and previously the Board of Governors of SAGES.
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  • Artificial Intelligence
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.