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HA Convention 2021
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研討大會的重點
委員會
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大會程序表(只備英文版本)
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More
徵求專題文章概述(已截止)
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Prof. Curtis LANGLOTZ
Stanford University
Prof. Curtis LANGLOTZ
Overview
CV
Dr. Langlotz is Professor of Radiology and Biomedical Informatics and Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center) at Stanford University, which conducts interdisciplinary machine learning research that optimizes how clinical images are used to promote health. He is also responsible for the computer technology that supports the Stanford Radiology practice. As a graduate student in computer science, Dr. Langlotz was a member of the team that implemented the first AI system in clinical practice. He has led many national and international efforts to improve radiology, including the RadLex™ terminology standard, the RadLex™ Playbook of radiology exam codes, the RSNA report template library, and a national COVID-19 imaging repository. He has published over 100 scholarly articles, and is author of the 2015 book “The Radiology Report: A Guide to Thoughtful Communication for Radiologists and Other Medical Professionals”. Raised in St. Paul, Minnesota, Dr. Langlotz received his undergraduate degree in Human Biology, masters in Computer Science, MD in Medicine, and PhD in Medical Information Science, all from Stanford University. He currently serves on the Board of Directors of the Radiological Society of North America (RSNA) as Liaison for Information Technology. He has founded three healthcare information technology companies, most recently Montage Healthcare Solutions, which was acquired by Nuance Communications in 2016.
Speaking Engagement
1. Plenary Session II - Ensuring Patient Safety In Stressful Workplace
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03 May, 2021
Prof Penelope SANDERSONProfessor, School of Psychology, ITEE and Clinical Medicine, The University of Queensland, AustraliaInterruption and Distractio...
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