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Articles

Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup

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By Sammer MBK, Akbari YS, Blumer SL, Dillman JR
| nlm.nih.gov
doi: 10.1016/j.jacr.2023.06.003. Online ahead of print. Affiliations Affiliations 1 Singleton Department of Radiology, Texas Children's Hospital, Houston, Texas; Department of Radiology, Baylor College of Medicine, Houston, Texas; and Chair, Pediatric AI Workgroup, Commission on Informatics, American College of Radiology. Electronic address: mbsammer@texaschildrens.org. 2 Radia, Lynnwood, Washington.
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A Novel Collaborative Self-Supervised Learning Method for Radiomic Data

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By Dillman JR, Parikh NA, Ralescu AL
| ncbi.nlm.nih.gov
Save citation to file Format: Add to My Bibliography Your saved search Name of saved search: Search terms: Frequency: Which day? Which day? Report format: Send at most: Send even when there aren't any new results Optional text in email: Create a file for external citation management software
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Liver Fibrosis, Fat, and Iron Evaluation with MRI and Fibrosis and Fat Evaluation with US: A Practical Guide for Radiologists

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By Barr RG, Lee JT, Guglielmo FF, Dillman JR
| ncbi.nlm.nih.gov
doi: 10.1148/rg.220181.
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