Ali Tejani, MD's Publications

Addressing Artificial Intelligence (AI) in the Media: A Conversation With Merel Huisman and Susan Shelmardine, From the AJR Video Series on AI in Radiology.

Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration.

Artificial Intelligence (AI) and Medical Education Innovations: A Conversation With Marc Triola, From the AJR Video Series on AI in Radiology.

Economic Value of AI in Radiology: A Systematic Review.

Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline.

AI for Radiology: A Primer Part I. From Idea to Algorithm.

AI-generated Podcast Summaries of Radiology Articles: Analysis of Content and Quality.

Amplifying signal-to-noise: Responsible use of large language models in radiology publishing.

Beyond Proprietary Models: The Potential of Open-Source Large Language Models in Radiology.

Clinical Artificial Intelligence (AI) Deployment: A Conversation With Kevin Groot Lipman, From the AJR Video Series on AI in Radiology.

Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care.

Eosinophilic Granulomatosis With Polyangiitis Presenting With Neuro-Ophthalmic Manifestations.

Human-Artificial Intelligence (AI) Interactions: A Conversation With Pranav Rajpurkar, From the AJR Video Series on AI in Radiology.

Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM): 2025 Updates.

One System to Rule Them All? Task- and Data-specific Considerations for Automated Data Extraction.

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update.

Evolving With Artificial Intelligence: Integrating Artificial Intelligence and Imaging Informatics in a General Residency Curriculum With an Advanced Track.

Integrating and Adopting AI in the Radiology Workflow: A Primer for Standards and Integrating the Healthcare Enterprise (IHE) Profiles.

Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures.

Understanding and Mitigating Bias in Imaging Artificial Intelligence.

AI Reporting Guidelines: How to Select the Best One for Your Research.

Deep Learning for Detection of Pneumothorax and Pleural Effusion on Chest Radiographs: Validation Against Computed Tomography, Impact on Resident Reading Time, and Interreader Concordance.

Detecting Common Sources of AI Bias: Questions to Ask When Procuring an AI Solution.

Evaluation of Climate-Aware Metrics Tools for Radiology Informatics and Artificial Intelligence: Toward a Potential Radiology Ecolabel.

Radiology and the Media.

To BERT or not to BERT: advancing non-invasive prediction of tumor biomarkers using transformer-based natural language processing (NLP).

American Society of Emergency Radiology (ASER) social media committee workgroup: best practices for the use of social media in emergency radiology.

Artificial Intelligence and Radiology Education.

Incidental Intercostal Intramuscular Myxoma With Fibrous Dysplasia in a Patient With Mazabraud's and McCune Albright Syndromes.

On the Opportunities and Risks of Foundation Models for Natural Language Processing in Radiology.

Performance of Multiple Pretrained BERT Models to Automate and Accelerate Data Annotation for Large Datasets.

What Should Radiology Residency and Fellowship Training in Artificial Intelligence Include? A Trainee's Perspective-Radiology In Training.

Concurrent, Bilateral Presentation of Immature and Mature Ovarian Teratomas with Refractory Hyponatremia: A Case Report.

Identifying and Addressing Barriers to an Artificial Intelligence Curriculum.

IMPLEMENTING A STANDARDIZED INTERVENTIONAL EXERCISE REGIMEN TO IMPROVE FUNCTIONAL MOVEMENTS IN FEMALE COLLEGIATE ATHLETES.