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GastroenterologyArtificial Intelligence Enabled Histological Prediction of Remission or Activity and Clinical Outcomes in Ulcerative Colitis

Five-hundred thirty-five (535) digitalized biopsies were graded against three standard indexes. A neural network was trained to distinguish remission from activity. The model predicted endoscopic-verified remission or activity with approximately 80% accuracy.

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