OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Prospective Evaluation of AI Triage of Pulmonary Emboli on CT Pulmonary Angiograms
Steven Rothenberg, Cody Savage, Asser Abou Elkassem, et al.
Radiology (2023) Vol. 309, Iss. 1
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Open-Source Large Language Models in Radiology: A Review and Tutorial for Practical Research and Clinical Deployment
Cody Savage, Adway Kanhere, Vishwa S. Parekh, et al.
Radiology (2025) Vol. 314, Iss. 1
Closed Access | Times Cited: 4

Prospective Evaluation of Artificial Intelligence Triage of Intracranial Hemorrhage on Noncontrast Head CT Examinations
Cody Savage, Manoj Tanwar, Asser Abou Elkassem, et al.
American Journal of Roentgenology (2024)
Closed Access | Times Cited: 13

The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation
Stephanie L. McNamara, Paul H. Yi, William Lotter
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 10

Applications of Artificial Intelligence in Acute Thoracic Imaging
Hayley Briody, Kate Hanneman, Michael N. Patlas
Canadian Association of Radiologists Journal (2025)
Closed Access | Times Cited: 1

AI Applications for Thoracic Imaging: Considerations for Best Practice
Eui Jin Hwang, Jin Mo Goo, Chang Min Park
Radiology (2025) Vol. 314, Iss. 2
Closed Access | Times Cited: 1

Prospective Evaluation of Artificial Intelligence Triage of Incidental Pulmonary Emboli on Contrast-Enhanced CT Examinations of the Chest or Abdomen
Cody Savage, Asser Abou Elkassem, Omar Hamki, et al.
American Journal of Roentgenology (2024) Vol. 223, Iss. 3
Closed Access | Times Cited: 7

Emerging multimodality imaging techniques for the pulmonary circulation
Sudarshan Rajagopal, Harm Jan Bogaard, Mohammed S.M. Elbaz, et al.
European Respiratory Journal (2024) Vol. 64, Iss. 4, pp. 2401128-2401128
Open Access | Times Cited: 5

A deep learning-based algorithm improves radiology residents’ diagnoses of acute pulmonary embolism on CT pulmonary angiograms
Alexandre Vallée, R Quint, Anne‐Laure Brun, et al.
European Journal of Radiology (2024) Vol. 171, pp. 111324-111324
Closed Access | Times Cited: 4

Independent Evaluation of a Commercial AI Software for Incidental Findings of Pulmonary Embolism (IPE) on a Large Hospital Retrospective Dataset
Simone Ambrogio, I Verdon, Brianna Laureano, et al.
Radiology Research and Practice (2025) Vol. 2025, Iss. 1
Open Access

Research progress of artificial intelligence and machine learning in pulmonary embolism
Yue Li, Limin Zhang, Haoran Liu, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access

Value assessment of augmentative artificial intelligence for assessment of pulmonary emboli on CT – a meta-analysis comprising 15,963 CT scans
Igor M Kitanovski, Alec Buetow, S. Cody Schoettler Woll, et al.
Emergency Radiology (2025)
Closed Access

AI Implementation in Thoracic Radiology: It Is Getting Closer
Edwin J.R. van Beek
Radiology (2025) Vol. 314, Iss. 2
Closed Access

Role of Artificial Intelligence in the Diagnosis and Management of Pulmonary Embolism: A Comprehensive Review
Ahmad Moayad Naser, Rhea Vyas, Ahmed Ashraf Morgan, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 889-889
Open Access

Multimodality imaging of acute and chronic pulmonary thromboembolic disease
Emanuele Muscogiuri, Walter De Wever, Deepa Gopalan
Breathe (2024) Vol. 20, Iss. 1, pp. 230130-230130
Open Access | Times Cited: 2

SPE-YOLO: A deep learning model focusing on small pulmonary embolism detection
Houde Wu, Qifei Xu, Xueling He, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109402-109402
Closed Access | Times Cited: 2

Reimbursement in the age of generalist radiology artificial intelligence
Siddhant Dogra, Ezequiel Silva, Pranav Rajpurkar
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2

Large Language Models as an Inexpensive and Effective Extra Set of Eyes in Radiology Reporting
Howard P. Forman
Radiology (2024) Vol. 311, Iss. 1
Closed Access | Times Cited: 1

Apport de l’intelligence artificielle dans le post-traitement de l’imagerie thoracique
Philippe Greniér, A.L. Brun, François Mellot
Revue des Maladies Respiratoires (2023) Vol. 41, Iss. 2, pp. 110-126
Closed Access | Times Cited: 2

Subsegmental Pulmonary Emboli and Chronic Pulmonary Emboli Should Not Be Ignored
Howard P. Forman, Sanjeev Bhalla
Radiology (2024) Vol. 310, Iss. 2
Closed Access

Real-World Adoption of Artificial Intelligence in Radiology: Opportunities and Barriers
Reza Forghani
American Journal of Neuroradiology (2024) Vol. 45, Iss. 9, pp. 1175-1176
Closed Access

Expectation Meets Reality: AI-powered CT Pulmonary Angiogram Triage in the Real World
David J. Murphy, Syer Ree Tee
Radiology (2023) Vol. 309, Iss. 1
Closed Access | Times Cited: 1

The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation
Stephanie L. McNamara, Paul H. Yi, William Lotter
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

Imaging of Acute Pulmonary Embolism
Kiran Batra, Fernando Uliana Kay, Robert C. Sibley, et al.
Radiologic Clinics of North America (2024) Vol. 63, Iss. 2, pp. 207-222
Closed Access

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