Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy.
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| Title: | Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy. |
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| Authors: | Bunnell A; Department of Information and Computer Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, United States of America.; University of Hawai'i Cancer Center, Honolulu, Hawai'i, United States of America., Valdez D; University of Hawai'i Cancer Center, Honolulu, Hawai'i, United States of America., Strand F; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.; Breast Radiology Unit, Medical Diagnostics Karolinska, Karolinska University Hospital, Stockholm, Sweden., Glaser Y; Department of Information and Computer Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, United States of America., Sadowski P; Department of Information and Computer Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, United States of America., Shepherd JA; University of Hawai'i Cancer Center, Honolulu, Hawai'i, United States of America. |
| Source: | PLOS digital health [PLOS Digit Health] 2025 Sep 22; Vol. 4 (9), pp. e0001019. Date of Electronic Publication: 2025 Sep 22 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40982543 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bunnell+A%22">Bunnell A</searchLink>; Department of Information and Computer Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, United States of America.; University of Hawai'i Cancer Center, Honolulu, Hawai'i, United States of America.<br /><searchLink fieldCode="AU" term="%22Valdez+D%22">Valdez D</searchLink>; University of Hawai'i Cancer Center, Honolulu, Hawai'i, United States of America.<br /><searchLink fieldCode="AU" term="%22Strand+F%22">Strand F</searchLink>; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.; Breast Radiology Unit, Medical Diagnostics Karolinska, Karolinska University Hospital, Stockholm, Sweden.<br /><searchLink fieldCode="AU" term="%22Glaser+Y%22">Glaser Y</searchLink>; Department of Information and Computer Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, United States of America.<br /><searchLink fieldCode="AU" term="%22Sadowski+P%22">Sadowski P</searchLink>; Department of Information and Computer Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i, United States of America.<br /><searchLink fieldCode="AU" term="%22Shepherd+JA%22">Shepherd JA</searchLink>; University of Hawai'i Cancer Center, Honolulu, Hawai'i, United States of America. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918335064206676%22">PLOS digital health</searchLink> [PLOS Digit Health] 2025 Sep 22; Vol. 4 (9), pp. e0001019. <i>Date of Electronic Publication: </i>2025 Sep 22 (<i>Print Publication: </i>2025). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22PLOS%22">PLOS </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9918335064206676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2767-3170 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227673170%22">27673170 </searchLink><i>NLM ISO Abbreviation: </i>PLOS Digit Health <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40982543 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pdig.0001019 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0001019 Titles: – TitleFull: Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bunnell A – PersonEntity: Name: NameFull: Valdez D – PersonEntity: Name: NameFull: Strand F – PersonEntity: Name: NameFull: Glaser Y – PersonEntity: Name: NameFull: Sadowski P – PersonEntity: Name: NameFull: Shepherd JA IsPartOfRelationships: – BibEntity: Dates: – D: 22 M: 09 Text: 2025 Sep 22 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2767-3170 Numbering: – Type: volume Value: 4 – Type: issue Value: 9 Titles: – TitleFull: PLOS digital health Type: main |
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