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【学术报告】Human Cognitive Biases and the need for Computer Aided Diagnosis in Acute Stroke Assessment

作者: 时间:2024-04-10 点击量:

报告题目:Human Cognitive Biases and the need for Computer Aided Diagnosis in Acute Stroke Assessment

报告人:Prof. Bijoy Menon                                

  间: 2024 年 4 月 16 10:00-12:00

  点: 生命科学与技术学院 221 会议室

邀请人: 教授

报告人简介:

Bijoy Menon is a Neurologist and a Professor in the Departments of Neurosciences, Radiology and Community Health Sciences at the University of Calgary, Canada. He heads a globally recognized research program advancing modern stroke care through innovative image processing, statistical and clinical trial methods, and AI algorithms, aiming to create advanced imaging tools and improve treatments for acute stroke patients. He is a member of the Royal Society of Canada‘s College, and recipient of the Michael S. Pessin Stroke Leadership award from the American Academy of Neurology, the Avenue Magazine Top 40 under 40 award (2014), a CIHR New Investigator Award (2015-2020), a Heart and Stroke Professorship in Stroke Imaging (2014-2020) and the 2015 University of Calgary PEAK Scholarship in Entrepreneurship Innovation & Knowledge Translation. He is founder and Chief Medical Officer for Circle NVI Inc, a company developing cutting edge imaging and communication solutions for use in acute stroke. Dr. Menon has Published > 320 peer reviewed papers, including many in the highest impact journals (Lancet n=5, NEJM n=1, JAMA n=3), with H index of 75, citations > 33,000.

报告简介:

All of modern medicine, including key imaging diagnostics, are based on the idea that humans read and interpret patient information and make clinical decisions. Humans however operate using multiple heuristics, many of which are influenced by cognitive biases. Computer aided diagnosis has the potential to complement humans in clinical decision making when interpreting patient information, especially imaging. This talk will focus on this broad issue in the context of acute stroke diagnosis and management and make the case that physicians are better of and can offer better care when they integrate computer aided diagnosis when providing clinical care.




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