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pro vyhledávání: '"Shuja Khalid"'
Autor:
Tina Felfeli, Ryan S. Huang, Tin-Suet Joan Lee, Eleanor R. Lena, Amy Basilious, Daniel Lamoureux, Shuja Khalid
Publikováno v:
JFO Open Ophthalmology, Vol 7, Iss , Pp 100124- (2024)
Purpose: The application of artificial intelligence (AI) in ophthalmology has shown significant promise across various clinical domains. This study addresses the need for assessing the predictive value of AI models utilizing electronic health records
Externí odkaz:
https://doaj.org/article/3b0415625b75479984b7ed4f4fb5238d
Autor:
Shuja Khalid, Frank Rudzicz
We present a novel neural radiance model that is trainable in a selfsupervised manner for novel-view synthesis of dynamic unstructured scenes. Our end-to-end trainable algorithm learns highly complex, realworld static scenes within seconds and dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d20c8d1a67d1c07c4da7e8099fb1b38
https://doi.org/10.21203/rs.3.rs-2459997/v1
https://doi.org/10.21203/rs.3.rs-2459997/v1
Background Currently, evaluating surgical technical performance is inefficient and subjective [1,2,3,4] and the established rubrics for assessing surgical ability are open to interpretation. To power programs for surgical training and Maintenance of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14da118724fb555f8651b8b79bab660b
https://doi.org/10.21203/rs.3.rs-1978829/v1
https://doi.org/10.21203/rs.3.rs-1978829/v1
Publikováno v:
JAMA network open. 3(3)
Importance When evaluating surgeons in the operating room, experienced physicians must rely on live or recorded video to assess the surgeon’s technical performance, an approach prone to subjectivity and error. Owing to the large number of surgical
Publikováno v:
Journal of surgical education. 76(6)
Objective The goal of the current study is to systematically review the literature addressing the use of automated methods to evaluate technical skills in surgery. Background The classic apprenticeship model of surgical training includes subjective a