Pre-deployment assessment of an AI model to assist radiologists in chest X-ray detection and identification of lead-less implanted electronic devices for pre-MRI safety screening: realized implementation needs and proposed operational solutions.
Saved in:
| Title: | Pre-deployment assessment of an AI model to assist radiologists in chest X-ray detection and identification of lead-less implanted electronic devices for pre-MRI safety screening: realized implementation needs and proposed operational solutions. |
|---|---|
| Authors: | White RD; Mayo Clinic, Department of Radiology, Center for Augmented Intelligence in Imaging, Jacksonville, Florida, United States., Demirer M; Mayo Clinic, Department of Radiology, Center for Augmented Intelligence in Imaging, Jacksonville, Florida, United States., Gupta V; Mayo Clinic, Department of Radiology, Center for Augmented Intelligence in Imaging, Jacksonville, Florida, United States., Sebro RA; Mayo Clinic, Department of Radiology, Center for Augmented Intelligence in Imaging, Jacksonville, Florida, United States., Kusumoto FM; Mayo Clinic, Department of Cardiovascular Medicine, Jacksonville, Florida, United States., Erdal BS; Mayo Clinic, Department of Radiology, Center for Augmented Intelligence in Imaging, Jacksonville, Florida, United States. |
| Source: | Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2022 Sep; Vol. 9 (5), pp. 054504. Date of Electronic Publication: 2022 Oct 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Society of Photo-Optical Instrumentation Engineers Country of Publication: United States NLM ID: 101643461 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2329-4302 (Print) Linking ISSN: 23294302 NLM ISO Abbreviation: J Med Imaging (Bellingham) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36310648 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Pre-deployment assessment of an AI model to assist radiologists in chest X-ray detection and identification of lead-less implanted electronic devices for pre-MRI safety screening: realized implementation needs and proposed operational solutions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22White+RD%22">White RD</searchLink>; Mayo Clinic, Department of Radiology, Center for Augmented Intelligence in Imaging, Jacksonville, Florida, United States.<br /><searchLink fieldCode="AU" term="%22Demirer+M%22">Demirer M</searchLink>; Mayo Clinic, Department of Radiology, Center for Augmented Intelligence in Imaging, Jacksonville, Florida, United States.<br /><searchLink fieldCode="AU" term="%22Gupta+V%22">Gupta V</searchLink>; Mayo Clinic, Department of Radiology, Center for Augmented Intelligence in Imaging, Jacksonville, Florida, United States.<br /><searchLink fieldCode="AU" term="%22Sebro+RA%22">Sebro RA</searchLink>; Mayo Clinic, Department of Radiology, Center for Augmented Intelligence in Imaging, Jacksonville, Florida, United States.<br /><searchLink fieldCode="AU" term="%22Kusumoto+FM%22">Kusumoto FM</searchLink>; Mayo Clinic, Department of Cardiovascular Medicine, Jacksonville, Florida, United States.<br /><searchLink fieldCode="AU" term="%22Erdal+BS%22">Erdal BS</searchLink>; Mayo Clinic, Department of Radiology, Center for Augmented Intelligence in Imaging, Jacksonville, Florida, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101643461%22">Journal of medical imaging (Bellingham, Wash.)</searchLink> [J Med Imaging (Bellingham)] 2022 Sep; Vol. 9 (5), pp. 054504. <i>Date of Electronic Publication: </i>2022 Oct 26. – 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="%22Society+of+Photo-Optical+Instrumentation+Engineers%22">Society of Photo-Optical Instrumentation Engineers </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101643461 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2329-4302 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223294302%22">23294302 </searchLink><i>NLM ISO Abbreviation: </i>J Med Imaging (Bellingham) <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36310648 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1117/1.JMI.9.5.054504 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 054504 Titles: – TitleFull: Pre-deployment assessment of an AI model to assist radiologists in chest X-ray detection and identification of lead-less implanted electronic devices for pre-MRI safety screening: realized implementation needs and proposed operational solutions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: White RD – PersonEntity: Name: NameFull: Demirer M – PersonEntity: Name: NameFull: Gupta V – PersonEntity: Name: NameFull: Sebro RA – PersonEntity: Name: NameFull: Kusumoto FM – PersonEntity: Name: NameFull: Erdal BS IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2022 Sep Type: published Y: 2022 Identifiers: – Type: issn-print Value: 2329-4302 Numbering: – Type: volume Value: 9 – Type: issue Value: 5 Titles: – TitleFull: Journal of medical imaging (Bellingham, Wash.) Type: main |
| ResultId | 1 |
