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.
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| 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. |
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| 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 |
| ISSN: | 2329-4302 |
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| DOI: | 10.1117/1.JMI.9.5.054504 |
