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Identifying signatures of image phenotypes to track treatment response in liver disease.

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Title: Identifying signatures of image phenotypes to track treatment response in liver disease.
Authors: Perkonigg M; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Institute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria. Electronic address: matthias.perkonigg@i-med.ac.at., Bastati N; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria., Ba-Ssalamah A; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria., Mesenbrink P; Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA., Goehler A; Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA., Martic M; Novartis Pharma AG, Basel, Switzerland., Zhou X; Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA., Trauner M; Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria., Langs G; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria. Electronic address: georg.langs@meduniwien.ac.at.
Source: Artificial intelligence in medicine [Artif Intell Med] 2025 Oct; Vol. 168, pp. 103223. Date of Electronic Publication: 2025 Jul 21.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2860 (Electronic) Linking ISSN: 09333657 NLM ISO Abbreviation: Artif Intell Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Identifying signatures of image phenotypes to track treatment response in liver disease.
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  Data: <searchLink fieldCode="AU" term="%22Perkonigg+M%22">Perkonigg M</searchLink>; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Institute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria. Electronic address: matthias.perkonigg@i-med.ac.at.<br /><searchLink fieldCode="AU" term="%22Bastati+N%22">Bastati N</searchLink>; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Ba-Ssalamah+A%22">Ba-Ssalamah A</searchLink>; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Mesenbrink+P%22">Mesenbrink P</searchLink>; Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Goehler+A%22">Goehler A</searchLink>; Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Martic+M%22">Martic M</searchLink>; Novartis Pharma AG, Basel, Switzerland.<br /><searchLink fieldCode="AU" term="%22Zhou+X%22">Zhou X</searchLink>; Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Trauner+M%22">Trauner M</searchLink>; Division of Gastroenterology and Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Langs+G%22">Langs G</searchLink>; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Artificial Intelligence in Medicine, Medical University of Vienna, Vienna, Austria. Electronic address: georg.langs@meduniwien.ac.at.
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  Data: <searchLink fieldCode="JN" term="%228915031%22">Artificial intelligence in medicine</searchLink> [Artif Intell Med] 2025 Oct; Vol. 168, pp. 103223. <i>Date of Electronic Publication: </i>2025 Jul 21.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science+Publishing%22">Elsevier Science Publishing </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8915031 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-2860 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209333657%22">09333657 </searchLink><i>NLM ISO Abbreviation: </i>Artif Intell Med <i>Subsets: </i>MEDLINE
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              Text: 2025 Oct
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