LI-RADS-aligned artificial intelligence for liver cancer diagnosis: methods, evidence, and clinical readiness.
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| Title: | LI-RADS-aligned artificial intelligence for liver cancer diagnosis: methods, evidence, and clinical readiness. |
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| Authors: | Abuhassan Q; Department of Pharmaceutics and Pharmaceutical Technology, School of Pharmacy, University of Jordan, Amman, 11942, Jordan., Oriquat G; Faculty of Allied Medical Sciences, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan. goreqat@ammanu.edu.jo., Ganesan S; Department of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India., Kanwar JB; Department of Endocrinology, IMS and SUM Hospital, Siksha 'O' Anusandhan, Bhubaneswar, Odisha, 751003, India., Kumar VR; Department of Biotechnology, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India., Sharma V; Department of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali,, Punjab,, India., Chauhan AS; Uttaranchal Institute of Pharmaceutical Sciences, Division of Research and Innovation, Uttaranchal University, Dehradun, Uttarakhand, India., Abdullaev T; Department of Oral Surgery and Dental Implantology, Samarkand State Medical University, Samarkand, Uzbekistan. |
| Source: | Abdominal radiology (New York) [Abdom Radiol (NY)] 2026 Jul; Vol. 51 (7), pp. 3446-3460. Date of Electronic Publication: 2025 Dec 19. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 101674571 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2366-0058 (Electronic) NLM ISO Abbreviation: Abdom Radiol (NY) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41417075 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: LI-RADS-aligned artificial intelligence for liver cancer diagnosis: methods, evidence, and clinical readiness. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Abuhassan+Q%22">Abuhassan Q</searchLink>; Department of Pharmaceutics and Pharmaceutical Technology, School of Pharmacy, University of Jordan, Amman, 11942, Jordan.<br /><searchLink fieldCode="AU" term="%22Oriquat+G%22">Oriquat G</searchLink>; Faculty of Allied Medical Sciences, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan. goreqat@ammanu.edu.jo.<br /><searchLink fieldCode="AU" term="%22Ganesan+S%22">Ganesan S</searchLink>; Department of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India.<br /><searchLink fieldCode="AU" term="%22Kanwar+JB%22">Kanwar JB</searchLink>; Department of Endocrinology, IMS and SUM Hospital, Siksha 'O' Anusandhan, Bhubaneswar, Odisha, 751003, India.<br /><searchLink fieldCode="AU" term="%22Kumar+VR%22">Kumar VR</searchLink>; Department of Biotechnology, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.<br /><searchLink fieldCode="AU" term="%22Sharma+V%22">Sharma V</searchLink>; Department of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali,, Punjab,, India.<br /><searchLink fieldCode="AU" term="%22Chauhan+AS%22">Chauhan AS</searchLink>; Uttaranchal Institute of Pharmaceutical Sciences, Division of Research and Innovation, Uttaranchal University, Dehradun, Uttarakhand, India.<br /><searchLink fieldCode="AU" term="%22Abdullaev+T%22">Abdullaev T</searchLink>; Department of Oral Surgery and Dental Implantology, Samarkand State Medical University, Samarkand, Uzbekistan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101674571%22">Abdominal radiology (New York)</searchLink> [Abdom Radiol (NY)] 2026 Jul; Vol. 51 (7), pp. 3446-3460. <i>Date of Electronic Publication: </i>2025 Dec 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101674571 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2366-0058 (Electronic) <i>NLM ISO Abbreviation: </i>Abdom Radiol (NY) <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41417075 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00261-025-05329-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 3446 Titles: – TitleFull: LI-RADS-aligned artificial intelligence for liver cancer diagnosis: methods, evidence, and clinical readiness. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abuhassan Q – PersonEntity: Name: NameFull: Oriquat G – PersonEntity: Name: NameFull: Ganesan S – PersonEntity: Name: NameFull: Kanwar JB – PersonEntity: Name: NameFull: Kumar VR – PersonEntity: Name: NameFull: Sharma V – PersonEntity: Name: NameFull: Chauhan AS – PersonEntity: Name: NameFull: Abdullaev T IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2366-0058 Numbering: – Type: volume Value: 51 – Type: issue Value: 7 Titles: – TitleFull: Abdominal radiology (New York) Type: main |
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