View in EDS

AI for screening in healthcare: promise and challenges.

Saved in:
Bibliographic Details
Title: AI for screening in healthcare: promise and challenges.
Authors: Saito K; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.; Center for Digital Transformation of Health Care, Graduate School of Medicine, Kyoto University, Kyoto, Japan., Walston SL; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan., Takita H; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan., Mitsuyama Y; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.; Smart Data and Knowledge Services Department, German Research Centre for Artificial Intelligence, Kaiserslautern, Germany., Arita Y; University of California, San Francisco, San Francisco, USA.; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA., Ueda D; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan. ai.labo.ocu@gmail.com.; Center for Health Science Innovation, Osaka Metropolitan University, Osaka, Japan. ai.labo.ocu@gmail.com.
Source: Abdominal radiology (New York) [Abdom Radiol (NY)] 2026 Jan 12. Date of Electronic Publication: 2026 Jan 12.
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
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41524988
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: AI for screening in healthcare: promise and challenges.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Saito+K%22">Saito K</searchLink>; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.; Center for Digital Transformation of Health Care, Graduate School of Medicine, Kyoto University, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Walston+SL%22">Walston SL</searchLink>; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.<br /><searchLink fieldCode="AU" term="%22Takita+H%22">Takita H</searchLink>; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.<br /><searchLink fieldCode="AU" term="%22Mitsuyama+Y%22">Mitsuyama Y</searchLink>; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.; Smart Data and Knowledge Services Department, German Research Centre for Artificial Intelligence, Kaiserslautern, Germany.<br /><searchLink fieldCode="AU" term="%22Arita+Y%22">Arita Y</searchLink>; University of California, San Francisco, San Francisco, USA.; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA.<br /><searchLink fieldCode="AU" term="%22Ueda+D%22">Ueda D</searchLink>; Department of Artificial Intelligence, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan. ai.labo.ocu@gmail.com.; Center for Health Science Innovation, Osaka Metropolitan University, Osaka, Japan. ai.labo.ocu@gmail.com.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101674571%22">Abdominal radiology (New York)</searchLink> [Abdom Radiol (NY)] 2026 Jan 12. <i>Date of Electronic Publication: </i>2026 Jan 12.
– 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=41524988
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00261-025-05370-4
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: AI for screening in healthcare: promise and challenges.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Saito K
      – PersonEntity:
          Name:
            NameFull: Walston SL
      – PersonEntity:
          Name:
            NameFull: Takita H
      – PersonEntity:
          Name:
            NameFull: Mitsuyama Y
      – PersonEntity:
          Name:
            NameFull: Arita Y
      – PersonEntity:
          Name:
            NameFull: Ueda D
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 12
              M: 01
              Text: 2026 Jan 12
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2366-0058
          Titles:
            – TitleFull: Abdominal radiology (New York)
              Type: main
ResultId 1