ARRS Clinical Artificial Intelligence in Radiology 2026

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Description

RadiologyVideo course2026

ARRS Clinical Artificial Intelligence in Radiology 2026 — from LLMs and agentic AI to governance and teaming

ARRS Clinical Artificial Intelligence in Radiology 2026 takes radiologists from AI fundamentals to safe clinical use, supplied as video lectures with an eBook. Across seven modules, Tessa Cook, Linda Moy, Constance Lehman, Judy Gichoya and colleagues explain deep learning, NLP, LLMs, generative and agentic AI and radiomics; deployment, regulation and legal risk; multimodal foundation models and dataset curation; subspecialty use cases; research and teaching; and bias, fairness and radiologist–AI collaboration.

28lectures and panels
7modules
eBookincluded
2026edition

What you’ll be able to do

Explain how deep learning, LLMs and agentic AI work
Build a practical framework to deploy and govern AI tools
Assess legal, ethical and regulatory risks
Evaluate AI use cases across eight subspecialties
Recognise bias and design radiologist-centred workflows

Inside the course

ARRS Clinical AI in Radiology 2026 progression
Getting to know AI, clinical implementation, going beyond images, two modules of subspecialty use cases, AI research and education, and the human side of AI — several ending with expert panels.

Built for

Radiologists and department leadersAdopting AI responsibly.
Residents, researchers and physicistsA structured AI curriculum.

Faculty & programme

Module 1 — Getting to Know AI 4 lectures

Tessa Cook — Overview of Radiology Artificial Intelligence: Latest Progress
Hyun Soo Ko — Primer on AI: Deep Learning, Natural Language Processing and Large Language Models, Generative AI, Agentic AI, and Radiomics
Linda Moy — Artificial Intelligence Can Improve Radiology Workflow Efficiency By Automating Noninterpretive Tasks
Shandong Wu — Artificial Intelligence to Improve Radiology Imaging Interpretation

Module 2 — AI Clinical Implementation 4 lectures

Julian Rivera — Legal and Ethical Considerations in AI Implementation
Tessa Cook — Artificial Intelligence Deployment
Melissa Davis — AI Regulation and Governance: A Practice Perspective on How to Govern Assessment, Deployment, and Maintenance of AI Algorithms
Linda Moy (moderator), Julian Rivera, Tessa Cook, Melissa Davis — Panel Discussion

Module 3 — Going Beyond Images to Multimodality 4 lectures

Heather Whitney — Medical Imaging Dataset Curation for Artificial Intelligence
Christian Bluethgen — Multimodal Foundation Models in Radiology
Lifeng Yu — Physics and Artificial Intelligence in CT
Heather Whitney, Christian Bluethgen, Lifeng Yu — Panel Discussion

Module 4 — Use Cases: Breast, Neuro, Abdominal & MSK 4 lectures

Constance Lehman — Breast Imaging Artificial Intelligence
Paulo Kuriki — Artificial Intelligence in Neuroradiology
Yee Ng — Artificial Intelligence in Abdominal Imaging
Ali Guermazi — Current and Emerging Applications of AI in Musculoskeletal Imaging

Module 5 — Use Cases: Pediatrics, Cardiothoracic, IR & Nuclear Medicine 4 lectures

Edward Lee — Pediatric Radiology Artificial Intelligence
Fernando Kay — Artificial Intelligence in Cardiothoracic Imaging: From Decision Support to Prognostic Biomarkers
Satvik Tripathi — Applications of Artificial Intelligence in Interventional Radiology
Babak Saboury — Nuclear Medicine AI

Module 6 — AI Research and Education 4 lectures

Dooman Arefan — Demonstration of an Artificial Intelligence Model Development Process (From A to Z) in Radiology
Shandong Wu — Artificial Intelligence Research in Radiology: Team, Approach, and Direction
Justin Peacock — Clinically Fluent, AI Literate: Teaching Radiologists About and With AI
Shandong Wu (moderator), Dooman Arefan, Justin Peacock — Panel Discussion

Module 7 — Humanity and AI 4 lectures

Florence Doo — Radiologist-Artificial Intelligence Collaboration and Teaming
Judy Gichoya — Bias and Fairness of Artificial Intelligence in Radiology: Current State and Future Directions
Eduardo Barbosa — Radiologists Fit in AI-Powered Radiology Services That Are Radiologist-Centered
Charles Kahn Jr. (moderator), Florence Doo, Judy Gichoya, Eduardo Barbosa — Panel Discussion

Before you buy

Do I get CME credit or a certificate?

No. Clinicapedia provides the educational content only — no CME or CE credits, MOC points or certificates of completion are included with this product.

Specifications

Format	Video lectures + eBook
Contents	28 lectures and panels
Edition	2026
Publisher	American Roentgen Ray Society
Department	Radiology
Delivery	Instant download · lifetime re-download