Confidence-Accuracy Alignment in Cardiology Knowledge: Comparing Medical-Specific and General-Purpose Large Language Models Using ACCSAP.
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| Title: | Confidence-Accuracy Alignment in Cardiology Knowledge: Comparing Medical-Specific and General-Purpose Large Language Models Using ACCSAP. |
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| Authors: | Zidan A; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada. Electronic address: alizidan2003@gmail.com., El-Sururi M; Multi-Organ Transplant Program, University Health Network and University of Toronto, Toronto, Ontario, Canada., Belbase A; Cardiovascular Center at Tufts Medical Center, Tufts University, Boston, Massachusetts., Saleh Y; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada., Kalasipudi R; Faculty of Medicine, St. George's University, St. George's, Grenada., Al-Rawi R; Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada., Malik A; Cardiovascular Center at Tufts Medical Center, Tufts University, Boston, Massachusetts., Gupta S; Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada., Perez MV; Department of Medicine, Stanford University School of Medicine, Stanford, California. Electronic address: mvperez@stanford.edu. |
| Source: | The American journal of cardiology [Am J Cardiol] 2026 Aug 01; Vol. 272, pp. 132-138. Date of Electronic Publication: 2026 May 07. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Excerpta Medica Country of Publication: United States NLM ID: 0207277 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1913 (Electronic) Linking ISSN: 00029149 NLM ISO Abbreviation: Am J Cardiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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