Diagnostic Performance of Artificial Intelligence-Based Methods for Tuberculosis Detection: Systematic Review.
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| Title: | Diagnostic Performance of Artificial Intelligence-Based Methods for Tuberculosis Detection: Systematic Review. |
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| Authors: | Hansun S; School of Clinical Medicine, South West Sydney, UNSW Medicine & Health, UNSW Sydney, Sydney, Australia.; Woolcock Vietnam Research Group, Woolcock Institute of Medical Research, Sydney, Australia., Argha A; Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.; Tyree Institute of Health Engineering, UNSW Sydney, Sydney, Australia.; Ageing Future Institute, UNSW Sydney, Sydney, Australia., Bakhshayeshi I; Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.; BioMedical Machine Learning Lab, Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia., Wicaksana A; Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia., Alinejad-Rokny H; Tyree Institute of Health Engineering, UNSW Sydney, Sydney, Australia.; Ageing Future Institute, UNSW Sydney, Sydney, Australia.; BioMedical Machine Learning Lab, Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia., Fox GJ; NHMRC Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia., Liaw ST; School of Population Health and School of Clinical Medicine, UNSW Sydney, Sydney, Australia., Celler BG; Biomedical Systems Research Laboratory, School of Electrical Engineering and Telecommunications, UNSW Sydney, Sydney, Australia., Marks GB; School of Clinical Medicine, South West Sydney, UNSW Medicine & Health, UNSW Sydney, Sydney, Australia.; Woolcock Vietnam Research Group, Woolcock Institute of Medical Research, Sydney, Australia.; Burnet Institute, Melbourne, Australia. |
| Source: | Journal of medical Internet research [J Med Internet Res] 2025 Mar 07; Vol. 27, pp. e69068. Date of Electronic Publication: 2025 Mar 07. |
| Publication Type: | Journal Article; Systematic Review |
| Journal Info: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40053773 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Diagnostic Performance of Artificial Intelligence-Based Methods for Tuberculosis Detection: Systematic Review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hansun+S%22">Hansun S</searchLink>; School of Clinical Medicine, South West Sydney, UNSW Medicine & Health, UNSW Sydney, Sydney, Australia.; Woolcock Vietnam Research Group, Woolcock Institute of Medical Research, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Argha+A%22">Argha A</searchLink>; Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.; Tyree Institute of Health Engineering, UNSW Sydney, Sydney, Australia.; Ageing Future Institute, UNSW Sydney, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Bakhshayeshi+I%22">Bakhshayeshi I</searchLink>; Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.; BioMedical Machine Learning Lab, Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Wicaksana+A%22">Wicaksana A</searchLink>; Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia.<br /><searchLink fieldCode="AU" term="%22Alinejad-Rokny+H%22">Alinejad-Rokny H</searchLink>; Tyree Institute of Health Engineering, UNSW Sydney, Sydney, Australia.; Ageing Future Institute, UNSW Sydney, Sydney, Australia.; BioMedical Machine Learning Lab, Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Fox+GJ%22">Fox GJ</searchLink>; NHMRC Clinical Trials Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Liaw+ST%22">Liaw ST</searchLink>; School of Population Health and School of Clinical Medicine, UNSW Sydney, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Celler+BG%22">Celler BG</searchLink>; Biomedical Systems Research Laboratory, School of Electrical Engineering and Telecommunications, UNSW Sydney, Sydney, Australia.<br /><searchLink fieldCode="AU" term="%22Marks+GB%22">Marks GB</searchLink>; School of Clinical Medicine, South West Sydney, UNSW Medicine & Health, UNSW Sydney, Sydney, Australia.; Woolcock Vietnam Research Group, Woolcock Institute of Medical Research, Sydney, Australia.; Burnet Institute, Melbourne, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100959882%22">Journal of medical Internet research</searchLink> [J Med Internet Res] 2025 Mar 07; Vol. 27, pp. e69068. <i>Date of Electronic Publication: </i>2025 Mar 07. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Systematic Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22JMIR+Publications%22">JMIR Publications </searchLink><i>Country of Publication: </i>Canada <i>NLM ID: </i>100959882 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1438-8871 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214388871%22">14388871 </searchLink><i>NLM ISO Abbreviation: </i>J Med Internet Res <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40053773 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2196/69068 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e69068 Titles: – TitleFull: Diagnostic Performance of Artificial Intelligence-Based Methods for Tuberculosis Detection: Systematic Review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hansun S – PersonEntity: Name: NameFull: Argha A – PersonEntity: Name: NameFull: Bakhshayeshi I – PersonEntity: Name: NameFull: Wicaksana A – PersonEntity: Name: NameFull: Alinejad-Rokny H – PersonEntity: Name: NameFull: Fox GJ – PersonEntity: Name: NameFull: Liaw ST – PersonEntity: Name: NameFull: Celler BG – PersonEntity: Name: NameFull: Marks GB IsPartOfRelationships: – BibEntity: Dates: – D: 07 M: 03 Text: 2025 Mar 07 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1438-8871 Numbering: – Type: volume Value: 27 Titles: – TitleFull: Journal of medical Internet research Type: main |
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