Ali S. Tejani

University of California, San Francisco — United States

Medicine · Health Sciences

11h-index720citations43works17.52yr avg
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Research Topics

Artificial Intelligence in Healthcare and Education(21), Radiology practices and education(18), Radiomics and Machine Learning in Medical Imaging(12), COVID-19 diagnosis using AI(7), Social Media in Health Education(3)

Publications43 total

Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline
Diagnostic and Interventional Radiology·2026Open Access
RSNA Large Language Model Benchmark Dataset for Chest Radiographs of Cardiothoracic Disease: Radiologist Evaluation and Validation Enhanced by AI Labels (REVEAL-CXR)
ArXiv.org·2026Open Access
RSNA Large Language Model Benchmark Dataset for Chest Radiographs of Cardiothoracic Disease: Radiologist Evaluation and Validation Enhanced by AI Labels (REVEAL-CXR)
arXiv (Cornell University)·2026Open Access
Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration
Radiology Artificial Intelligence·2026
Clinical Artificial Intelligence (AI) Deployment: A Conversation With Kevin Groot Lipman, From the <i>AJR</i> Video Series on AI in Radiology
American Journal of Roentgenology·2025
Amplifying signal-to-noise: Responsible use of large language models in radiology publishing
Clinical Imaging·2025Open Access
Economic Value of AI in Radiology: A Systematic Review
Radiology Artificial Intelligence·2025· 2 cited
Human—Artificial Intelligence (AI) Interactions: A Conversation With Pranav Rajpurkar, From the <i>AJR</i> Video Series on AI in Radiology
American Journal of Roentgenology·2025· 1 cited
AI for Radiology: A Primer Part I. From Idea to Algorithm
Radiology·2025· 1 cited
Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care
Radiology Artificial Intelligence·2025· 5 cited
One System to Rule Them All? Task- and Data-specific Considerations for Automated Data Extraction
Radiology Artificial Intelligence·2025
Beyond Proprietary Models: The Potential of Open-Source Large Language Models in Radiology
Radiology·2025· 2 cited
Eosinophilic Granulomatosis With Polyangiitis Presenting With Neuro-Ophthalmic Manifestations
Journal of Neuro-Ophthalmology·2025
How to Evaluate Artificial Intelligence Literature: A Concise Guide for Humans
Roentgen Ray Review·2025· 1 cited
AI-generated Podcast Summaries of <i>Radiology</i> Articles: Analysis of Content and Quality
Radiology·2025· 4 citedOpen Access
Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM): 2025 Updates
Korean Journal of Radiology·2025· 3 citedOpen Access
21 Clinical View
2024
Evolving With Artificial Intelligence: Integrating Artificial Intelligence and Imaging Informatics in a General Residency Curriculum With an Advanced Track
Journal of the American College of Radiology·2024· 3 citedOpen Access
Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures
Journal of the American Medical Informatics Association·2024· 5 citedOpen Access
Integrating and Adopting AI in the Radiology Workflow: A Primer for Standards and Integrating the Healthcare Enterprise (IHE) Profiles
Radiology·2024· 28 citedOpen Access
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Frequent Co-authors

Charles E. Kahn(7), Linda Moy(6), Tessa S. Cook(6), Michail E. Klontzas(5), Yin Xi(4), Anthony A. Gatti(3), John Mongan(3), Seong Ho Park(3), Adam E. Flanders(3), Judy Wawira Gichoya(3), Yee S. Ng(3), Marc Kohli(3), Ronald M. Peshock(3), Mu Huang(3), Mana Moassefi(3), Bert B. Vargas(3), Errol Colak(3), Suhny Abbara(2), Hesham Elhalawani(2), Jesse C. Rayan(2)