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Global Roll-Out and Continued Multi-Site Validation of the Artificial Intelligence Histology Instrument for Qualitative Assessment of Histopathology in Ulcerative Colitis
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DOI：10.1002/ueg2.70227.png)
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Abstract
En 中文
Histological assessment of mucosal biopsies in patients with ulcerative colitis (UC) can determine the activity and extent of disease and assess response to treatment. However, its widespread adoption is limited by the time required for the advanced GI specialty training to handle and review histopathology digital images, inter- and intra-observer variability, and cost associated with the interpretation of data. Artificial intelligence, and specifically machine learning‒driven medical image processing, have emerged to help standardise and automate histopathologic assessments.
Keywords:
artificial intelligence
histopathology
machine learning
ulcerative colitis
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