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Integrating artificial intelligence (AI) into colorectal cancer reporting.

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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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  Data: Integrating artificial intelligence (AI) into colorectal cancer reporting.
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  Data: <searchLink fieldCode="AU" term="%22Bräutigam+K%22">Bräutigam K</searchLink>; Centre for Evolution and Cancer, Institute of Cancer Research, London, UK.<br /><searchLink fieldCode="AU" term="%22Baker+AM%22">Baker AM</searchLink>; Centre for Evolution and Cancer, Institute of Cancer Research, London, UK.<br /><searchLink fieldCode="AU" term="%22Koelzer+VH%22">Koelzer VH</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Kather+JN%22">Kather JN</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Graham+TA%22">Graham TA</searchLink>; Centre for Evolution and Cancer, Institute of Cancer Research, London, UK.
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  Data: <searchLink fieldCode="JN" term="%220204634%22">The Journal of pathology</searchLink> [J Pathol] 2026 Apr; Vol. 268 (4), pp. 367-382. <i>Date of Electronic Publication: </i>2026 Jan 26.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22John+Wiley+And+Sons%22">John Wiley And Sons </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0204634 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1096-9896 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200223417%22">00223417 </searchLink><i>NLM ISO Abbreviation: </i>J Pathol <i>Subsets: </i>MEDLINE
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        Value: 10.1002/path.70029
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        Text: English
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      – TitleFull: Integrating artificial intelligence (AI) into colorectal cancer reporting.
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              Text: 2026 Apr
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