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Letter to the Editor: Improving generative-AI performance in radiology through test-time compute.

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Title: Letter to the Editor: Improving generative-AI performance in radiology through test-time compute.
Authors: Sorin V; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN, USA. Sorin.vera@mayo.edu., Korfiatis P; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN, USA., Collins JD; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN, USA., Klang E; Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Source: European radiology [Eur Radiol] 2025 Aug; Vol. 35 (8), pp. 4558-4559. Date of Electronic Publication: 2025 May 06.
Publication Type: Letter
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Sorin+V%22">Sorin V</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN, USA. Sorin.vera@mayo.edu.<br /><searchLink fieldCode="AU" term="%22Korfiatis+P%22">Korfiatis P</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Collins+JD%22">Collins JD</searchLink>; Department of Radiology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN, USA.<br /><searchLink fieldCode="AU" term="%22Klang+E%22">Klang E</searchLink>; Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE; In Process
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        Value: 10.1007/s00330-025-11664-4
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              Text: 2025 Aug
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              Y: 2025
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