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...

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Detalles Bibliográficos
Autores principales: Stidham, Ryan W., Liu, Wenshuo, Bishu, Shrinivas, Rice, Michael D., Higgins, Peter D. R., Zhu, Ji, Nallamothu, Brahmajee K., Waljee, Akbar K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2019
Materias:
Original Investigation
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

Internet

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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