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Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review.

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Title: Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review.
Authors: Radiya K; Department of Gastroenterological Surgery at University Hospital of North Norway (UNN), Tromso, Norway. keyur.radiya@uit.no.; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway. keyur.radiya@uit.no., Joakimsen HL; Institute of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.; Centre for Clinical Artificial Intelligence (SPKI), University Hospital of North Norway, Tromso, Norway., Mikalsen KØ; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.; Centre for Clinical Artificial Intelligence (SPKI), University Hospital of North Norway, Tromso, Norway.; UiT Machine Learning Group, Department of Physics and Technology, UiT the Arctic University of Norway, Tromso, Norway., Aahlin EK; Department of Gastroenterological Surgery at University Hospital of North Norway (UNN), Tromso, Norway., Lindsetmo RO; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.; Head Clinic of Surgery, Oncology and Women Health, University Hospital of North Norway, Tromso, Norway., Mortensen KE; Department of Gastroenterological Surgery at University Hospital of North Norway (UNN), Tromso, Norway.; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.
Source: European radiology [Eur Radiol] 2023 Oct; Vol. 33 (10), pp. 6689-6717. Date of Electronic Publication: 2023 May 12.
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review.
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  Data: <searchLink fieldCode="AU" term="%22Radiya+K%22">Radiya K</searchLink>; Department of Gastroenterological Surgery at University Hospital of North Norway (UNN), Tromso, Norway. keyur.radiya@uit.no.; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway. keyur.radiya@uit.no.<br /><searchLink fieldCode="AU" term="%22Joakimsen+HL%22">Joakimsen HL</searchLink>; Institute of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.; Centre for Clinical Artificial Intelligence (SPKI), University Hospital of North Norway, Tromso, Norway.<br /><searchLink fieldCode="AU" term="%22Mikalsen+KØ%22">Mikalsen KØ</searchLink>; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.; Centre for Clinical Artificial Intelligence (SPKI), University Hospital of North Norway, Tromso, Norway.; UiT Machine Learning Group, Department of Physics and Technology, UiT the Arctic University of Norway, Tromso, Norway.<br /><searchLink fieldCode="AU" term="%22Aahlin+EK%22">Aahlin EK</searchLink>; Department of Gastroenterological Surgery at University Hospital of North Norway (UNN), Tromso, Norway.<br /><searchLink fieldCode="AU" term="%22Lindsetmo+RO%22">Lindsetmo RO</searchLink>; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.; Head Clinic of Surgery, Oncology and Women Health, University Hospital of North Norway, Tromso, Norway.<br /><searchLink fieldCode="AU" term="%22Mortensen+KE%22">Mortensen KE</searchLink>; Department of Gastroenterological Surgery at University Hospital of North Norway (UNN), Tromso, Norway.; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2023 Oct; Vol. 33 (10), pp. 6689-6717. <i>Date of Electronic Publication: </i>2023 May 12.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00330-023-09609-w
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      – TitleFull: Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review.
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              Text: 2023 Oct
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              Y: 2023
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