Integrating artificial intelligence (AI) into colorectal cancer reporting.

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Bibliographic Details
Title: Integrating artificial intelligence (AI) into colorectal cancer reporting.
Authors: Bräutigam K; Centre for Evolution and Cancer, Institute of Cancer Research, London, UK., Baker AM; Centre for Evolution and Cancer, Institute of Cancer Research, London, UK., Koelzer VH; Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland.; Computational and Translational Pathology Group, Department of Biomedical Engineering, University of Basel, Basel, Switzerland., Kather JN; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany.; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK., Graham TA; Centre for Evolution and Cancer, Institute of Cancer Research, London, UK.
Source: The Journal of pathology [J Pathol] 2026 Apr; Vol. 268 (4), pp. 367-382. Date of Electronic Publication: 2026 Jan 26.
Publication Type: Journal Article; Review
Journal Info: Publisher: John Wiley And Sons Country of Publication: England NLM ID: 0204634 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-9896 (Electronic) Linking ISSN: 00223417 NLM ISO Abbreviation: J Pathol Subsets: MEDLINE
Database: MEDLINE Ultimate
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