Artificial intelligence for detecting traumatic intracranial haemorrhage with CT: A workflow-oriented implementation.

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Bibliographic Details
Title: Artificial intelligence for detecting traumatic intracranial haemorrhage with CT: A workflow-oriented implementation.
Authors: Abed S; Department of Radiology, University Hospital Salzburg, Paracelsus Medical University, Austria., Hergan K; Department of Radiology, University Hospital Salzburg, Paracelsus Medical University, Austria., Pfaff J; Department of Neuroradiology, University Hospital Salzburg, Paracelsus Medical University, Austria., Dörrenberg J; Department of Radiology, University Hospital Salzburg, Paracelsus Medical University, Austria., Brandstetter L; Department of Radiology, University Hospital Salzburg, Paracelsus Medical University, Austria., Gradl J; Department of Radiology, University Hospital Salzburg, Paracelsus Medical University, Austria.
Source: The neuroradiology journal [Neuroradiol J] 2026 Feb; Vol. 39 (1), pp. 119-125. Date of Electronic Publication: 2025 Jun 03.
Publication Type: Journal Article
Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 101295103 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2385-1996 (Electronic) Linking ISSN: 19714009 NLM ISO Abbreviation: Neuroradiol J Subsets: MEDLINE
Database: MEDLINE Ultimate
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