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Joshua Kovoor

University of Adelaide

No 233 North Terrace, School of Commerce

Adelaide, 5005

Australia

  • University of Adelaide

SCHOLARLY PAPERS

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Scholarly Papers (1)

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Large Language Models Can Effectively Extract Stroke and Reperfusion Audit Data from Medical Free-Text Discharge Summaries

Number of pages: 15 Posted: 24 Jul 2024
Rudy Goh, Benjamin Joseph Cook, Brandon Stretton, Andrew Booth, Shrirajh Satheakeerthy, Sarah Howard, Joshua Kovoor, Aashray Gupta, Sheryn Tan, W. Taylor Kimberley, Andrew Moey, Wilson Vallat, John Maddison, Jarrod Marks, Samuel Gluck, Toby Gilbert, Jim Jannes, Timothy Kleinig and Stephen Bacchi
Lyell McEwin Hospital, University of Adelaide, Lyell McEwin Hospital, Royal Adelaide Hospital, Royal Adelaide Hospital, Royal Adelaide Hospital, University of Adelaide, University of Adelaide, University of Adelaide, affiliation not provided to SSRN, Lyell McEwin Hospital, Lyell McEwin Hospital, Lyell McEwin Hospital, Lyell McEwin Hospital, Lyell McEwin Hospital, Lyell McEwin Hospital, Royal Adelaide Hospital, Royal Adelaide Hospital and Lyell McEwin Hospital
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Abstract:

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Artificial intelligence, machine learning, Quality Improvement, key performance indicators, automation, Neurology, stroke