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Anna Trust
"The courses covered under the MRA program are very relevant in today’s rapidly changing clinical research environment and drug development landscape."
Daniel Hashimoto
“Daniel's thesis work was titled, “Striving for Acquisition of Expertise in Surgery: Lessons from High Performance Competitive Industries”. After completing surgical residency and a research fellowship in surgical AI & innovation, he was appointed Assistant Professor in Surgery and Engineering at Penn in 2022 and the director of the Penn Computer Assisted Surgery and Outcomes Laboratory, where he leads a multidisciplinary team of clinicians and computer scientists that aims to leverage computer vision to augment surgical decision-making in the operating room and to provide data-augmented guidance to surgeons during operations to improve patient outcomes and reduce the likelihood of intraoperative adverse events. Although early in his career, his research has impacted clinical care, by his development of multiple computer vision algorithms for the analysis of surgical video. He led international consensus on defining ground truth for the annotation of surgical video and worked to define metrics to assess performance of AI algorithms on surgical tasks. His work has been cited by both the Government Accountability Office and the National Academy of Medicine’s technology assessment on AI in Healthcare as an example of how policy must account for computer vision technologies that guide or influence patient care. He served on the Royal College of Physicians and Surgeons of Canada task force that recommended that digital health literacy be introduced as a new component of the CanMEDS Physician Competency Framework. He is co-founder of the Global Surgical AI Collaborative, a nonprofit that promotes the democratization of surgical care through the intersection of education, innovation, & technology.“
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