William F. Griffin Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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faculty
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Biography and Research Information
OverviewAI-generated summary
William F. Griffin's research focuses on the application of artificial intelligence (AI) to analyze coronary computed tomography angiography (CTA) for the assessment of atherosclerosis, stenosis, and vascular morphology. His work investigates the diagnostic performance of AI in identifying coronary stenosis, comparing it with established quantitative coronary angiography and fractional flow reserve measurements. Griffin has published studies examining the variability among expert readers in quantifying plaque on coronary CTA and the effect of scan parameters on AI diagnostic performance. His recent publications include multi-center international studies and sub-studies of trials such as CLARIFY and CREDENCE. He has also investigated the comparison of AI-derived quantitative CT (AI-QCT) assessment of atherosclerotic plaque burden against other imaging categories. Griffin's h-index is 11 with 621 total citations across 29 publications.
Metrics
- h-index: 12
- Publications: 31
- Citations: 649
Selected Publications
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Dissemination and Impact of a Multimodal Pain Regimen on Analgesia Prescribing at an Academic Hospital (2025)
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