AI for image quality and patient safety in CT and MRI.

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Bibliographic Details
Title: AI for image quality and patient safety in CT and MRI.
Authors: Melazzini L; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy., Bortolotto C; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.; Department of Radiology, IRCCS Policlinico San Matteo, Pavia, Italy., Brizzi L; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy. leonardo.brizzi01@universitadipavia.it., Achilli M; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy., Basla N; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy., D'Onorio De Meo A; Department of Radiology, IRCCS Policlinico San Matteo, Pavia, Italy., Gerbasi A; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy., Bottinelli OM; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy., Bellazzi R; Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy., Preda L; Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy.; Department of Radiology, IRCCS Policlinico San Matteo, Pavia, Italy.
Source: European radiology experimental [Eur Radiol Exp] 2025 Feb 23; Vol. 9 (1), pp. 28. Date of Electronic Publication: 2025 Feb 23.
Publication Type: Journal Article; Review
Journal Info: Publisher: SpringerOpen Country of Publication: England NLM ID: 101721752 Publication Model: Electronic Cited Medium: Internet ISSN: 2509-9280 (Electronic) Linking ISSN: 25099280 NLM ISO Abbreviation: Eur Radiol Exp Subsets: MEDLINE
Database: MEDLINE Ultimate
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