Development of a Computer-aided Prediction Tool for Evaluating Brushing Samples of Biliary Strictures.
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| Title: | Development of a Computer-aided Prediction Tool for Evaluating Brushing Samples of Biliary Strictures. |
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| Authors: | Marya NB; Division of Gastroenterology, UMass Chan Medical School, Worcester, Massachusetts; Program in Digital Medicine, UMass Chan Medical School, Worcester, Massachusetts. Electronic address: neil.marya@umassmed.edu., Hartley C; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota., Powers PD; Program in Digital Medicine, UMass Chan Medical School, Worcester, Massachusetts., Bois MC; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota., Kerr SE; Allina Health Laboratory, Minneapolis, Minnesota., Graham RP; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota., Levy MJ; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota. |
| Corporate Authors: | UMass-Mayo Clinic AI Cytopathology Consortium |
| Source: | Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association [Clin Gastroenterol Hepatol] 2024 Jan; Vol. 22 (1), pp. 185-187.e3. Date of Electronic Publication: 2023 Mar 24. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: W.B. Saunders for the American Gastroenterological Association Country of Publication: United States NLM ID: 101160775 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1542-7714 (Electronic) Linking ISSN: 15423565 NLM ISO Abbreviation: Clin Gastroenterol Hepatol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1542-7714 |
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| DOI: | 10.1016/j.cgh.2023.03.015 |
