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Performance of a Deep Learning Model vs Human Reviewers in Grading Endoscopic Disease Severity of Patients With Ulcerative Colitis
IMPORTANCE: Assessing endoscopic disease severity in ulcerative colitis (UC) is a key element in determining therapeutic response, but its use in clinical practice is limited by the requirement for experienced human reviewers. OBJECTIVE: To determine whether deep learning models can grade the endosc...
Autores principales: | Stidham, Ryan W., Liu, Wenshuo, Bishu, Shrinivas, Rice, Michael D., Higgins, Peter D. R., Zhu, Ji, Nallamothu, Brahmajee K., Waljee, Akbar K. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6537821/ https://www.ncbi.nlm.nih.gov/pubmed/31099869 http://dx.doi.org/10.1001/jamanetworkopen.2019.3963 |
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