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Artificial intelligence development in pediatric body magnetic resonance imaging: best ideas to adapt from adults.
Moore, Michael M; Iyer, Ramesh S; Sarwani, Nabeel I; Sze, Raymond W.
Affiliation
  • Moore MM; Department of Radiology, Penn State Children's Hospital, Penn State Health, 500 University Drive, H066, Hershey, PA, 17033, USA. mmoore5@pennstatehealth.psu.edu.
  • Iyer RS; Seattle Children's Hospital, University of Washington, Seattle, WA, USA.
  • Sarwani NI; Penn State Radiology, Penn State Health, Hershey, PA, USA.
  • Sze RW; Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
Pediatr Radiol ; 52(2): 367-373, 2022 Feb.
Article in En | MEDLINE | ID: mdl-33851261
Emerging manifestations of artificial intelligence (AI) have featured prominently in virtually all industries and facets of our lives. Within the radiology literature, AI has shown great promise in improving and augmenting radiologist workflow. In pediatric imaging, while greatest AI inroads have been made in musculoskeletal radiographs, there are certainly opportunities within thoracoabdominal MRI for AI to add significant value. In this paper, we briefly review non-interpretive and interpretive data science, with emphasis on potential avenues for advancement in pediatric body MRI based on similar work in adults. The discussion focuses on MRI image optimization, abdominal organ segmentation, and osseous lesion detection encountered during body MRI in children.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology / Artificial Intelligence Type of study: Diagnostic_studies Limits: Adult / Child / Humans Language: En Journal: Pediatr Radiol Year: 2022 Document type: Article Affiliation country: United States Country of publication: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology / Artificial Intelligence Type of study: Diagnostic_studies Limits: Adult / Child / Humans Language: En Journal: Pediatr Radiol Year: 2022 Document type: Article Affiliation country: United States Country of publication: Germany