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Automatic comprehensive radiological reports for clinical acute stroke MRIs.
Liu, Chin-Fu; Zhao, Yi; Yedavalli, Vivek; Leigh, Richard; Falcao, Vitor; Miller, Michael I; Hillis, Argye E; Faria, Andreia V.
Afiliação
  • Liu CF; Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA.
  • Zhao Y; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
  • Yedavalli V; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA.
  • Leigh R; Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Falcao V; Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Hillis AE; Center for Imaging Science, Johns Hopkins University, Baltimore, MD, USA.
  • Faria AV; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Commun Med (Lond) ; 3(1): 95, 2023 Jul 10.
Article em En | MEDLINE | ID: mdl-37430103
Artificial intelligence (AI) uses computer software to solve problems that normally require human input. It is likely that AI will take over, or help with, certain tasks in medical imaging, particularly where these tasks are time-consuming and laborious for clinicians. Here, we demonstrate the possibility of using AI to generate radiological reports for brain scans from patients who have had a stroke. These reports provide a summary of what is shown in the scans, and are normally written by clinicians. Our system performs similarly to human experts, is fast, publicly available, and runs on normal computers with minimal computational requirements, meaning that it might be a useful tool for researchers and clinicians to use when assessing and treating patients with stroke.

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Commun Med (Lond) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Commun Med (Lond) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos