Cited by 2Artificial Intelligence in Healthcare and EducationCardiac Imaging and DiagnosticsMachine Learning in Healthcare

Large Language Model Agentic Workflows for Automated Opportunistic Screening of Incidental Coronary Artery Calcium on Chest CT Reports

Ladak, Aly Muhammad, Halankar, Jaydeep, Nguyen, Elsie T., Hanneman, Kate, Deng, Yangqing, Krishna, Satheesh, Bhayana, Rajesh·2026·Canadian Association of Radiologists Journal

Integrity signals

Registry

Crossref · 10.1177/08465371251358105

Cites

4 of 4 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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  • One study estimated a cost of US$0.006 per screened patient using automated notification workflows (≈US$6485 per million patients).

    “one estimating a cost of US$0.006 per screened patient using automated notification workflows (≈US$6485 per million patients)40”
  • Agentic workflows can be used at the panel-management level to identify patients in the electronic health record with elevated CAC without statin prescription.

    “Agentic workflows can be used at the panel-management level to identify patients in the electronic health record with elevated CAC without statin prescription.”
  • Notification of patients and clinicians based on AI-CAC results increases cardiovascular preventive discussions, statin prescription rates and statin persistence.

    “Notification of patients and clinicians based on these results has been shown to increase cardiovascular preventive discussions, statin prescription rates and statin persistence.40–43”
  • Large language models accurately identified patients for preventive interventions from review of patient charts and CT reports (F1 0.99, positive predictive value 98%-100%).

    “In real-world applications, large language models accurately identified patients for preventive interventions from review of patient charts and CT reports (F1 0.99, positive predictive value 98%–100%).40”

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Authors
Ladak, A. M., Halankar, J., Nguyen, E. T., Hanneman, K., Deng, Y., Krishna, S., & Bhayana, R.
Affiliations
  • University of Toronto (CA)
  • University Health Network (CA)
Corresponding author
Bhayana, Rajesh
Venue
Canadian Association of Radiologists Journal
Published
2025-08-02
Volume
77
Issue
1
Pages
246-249
ISSN
  • 0846-5371 (ISSN-L)
  • 1488-2361
OpenAlex
W4412853731
Cited by
2
References
4
Citations by year
2026: 2
FWCI
0.49
Type
journal article
Language
en
Open access
closed
Locations
  • Canadian Association of Radiologists Journal (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
Keywords
large language models, LLM agents, coronary artery calcium, incidental finding, automated screening, radiology report analysis, opportunistic screening

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