Using a Large Language Model for Postdeployment Monitoring of FDA-Approved Artificial Intelligence: Pulmonary Embolism Detection Use Case.

Saved in:
Bibliographic Details
Title: Using a Large Language Model for Postdeployment Monitoring of FDA-Approved Artificial Intelligence: Pulmonary Embolism Detection Use Case.
Authors: Sorin V; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota. Electronic address: Sorin.Vera@mayo.edu., Korfiatis P; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Bratt AK; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota; Chair, Thoracic Division, Department of Radiology, Mayo Clinic, Rochester, Minnesota., Leiner T; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota; Medical Director, Artificial Intelligence for Cardiovascular Imaging Research and Exploration Program, Mayo Clinic, Rochester, Minnesota., Wald C; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota; Chair, ACR Informatics Commission; Vice Chair, ACR Board of Chancellors., Butler C; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Cook CJ; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Kline TL; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota., Collins JD; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota; Chair, Informatics Division, Department of Radiology, Mayo Clinic, Rochester, Minnesota; Medical Director, Advanced Imaging Post-Processing Lab, Mayo Clinic, Rochester, Minnesota. Electronic address: Collins.Jeremy@mayo.edu.
Source: Journal of the American College of Radiology : JACR [J Am Coll Radiol] 2025 Nov; Vol. 22 (11), pp. 1404-1414. Date of Electronic Publication: 2025 Jun 30.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101190326 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-349X (Electronic) Linking ISSN: 15461440 NLM ISO Abbreviation: J Am Coll Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40602699
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Using a Large Language Model for Postdeployment Monitoring of FDA-Approved Artificial Intelligence: Pulmonary Embolism Detection Use Case.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Sorin+V%22">Sorin V</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota. Electronic address: Sorin.Vera@mayo.edu.<br /><searchLink fieldCode="AU" term="%22Korfiatis+P%22">Korfiatis P</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota.<br /><searchLink fieldCode="AU" term="%22Bratt+AK%22">Bratt AK</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota; Chair, Thoracic Division, Department of Radiology, Mayo Clinic, Rochester, Minnesota.<br /><searchLink fieldCode="AU" term="%22Leiner+T%22">Leiner T</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota; Medical Director, Artificial Intelligence for Cardiovascular Imaging Research and Exploration Program, Mayo Clinic, Rochester, Minnesota.<br /><searchLink fieldCode="AU" term="%22Wald+C%22">Wald C</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota; Chair, ACR Informatics Commission; Vice Chair, ACR Board of Chancellors.<br /><searchLink fieldCode="AU" term="%22Butler+C%22">Butler C</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota.<br /><searchLink fieldCode="AU" term="%22Cook+CJ%22">Cook CJ</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota.<br /><searchLink fieldCode="AU" term="%22Kline+TL%22">Kline TL</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota.<br /><searchLink fieldCode="AU" term="%22Collins+JD%22">Collins JD</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, Minnesota; Chair, Informatics Division, Department of Radiology, Mayo Clinic, Rochester, Minnesota; Medical Director, Advanced Imaging Post-Processing Lab, Mayo Clinic, Rochester, Minnesota. Electronic address: Collins.Jeremy@mayo.edu.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101190326%22">Journal of the American College of Radiology : JACR</searchLink> [J Am Coll Radiol] 2025 Nov; Vol. 22 (11), pp. 1404-1414. <i>Date of Electronic Publication: </i>2025 Jun 30.
– 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="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101190326 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1558-349X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215461440%22">15461440 </searchLink><i>NLM ISO Abbreviation: </i>J Am Coll Radiol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40602699
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jacr.2025.06.036
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1404
    Titles:
      – TitleFull: Using a Large Language Model for Postdeployment Monitoring of FDA-Approved Artificial Intelligence: Pulmonary Embolism Detection Use Case.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sorin V
      – PersonEntity:
          Name:
            NameFull: Korfiatis P
      – PersonEntity:
          Name:
            NameFull: Bratt AK
      – PersonEntity:
          Name:
            NameFull: Leiner T
      – PersonEntity:
          Name:
            NameFull: Wald C
      – PersonEntity:
          Name:
            NameFull: Butler C
      – PersonEntity:
          Name:
            NameFull: Cook CJ
      – PersonEntity:
          Name:
            NameFull: Kline TL
      – PersonEntity:
          Name:
            NameFull: Collins JD
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2025 Nov
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1558-349X
          Numbering:
            – Type: volume
              Value: 22
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Journal of the American College of Radiology : JACR
              Type: main
ResultId 1