Comparing the Leading Platforms for Subspecialty Case-Based Radiology Training

Navigating Radiology vs CaseStacks vs Medality

Dr. Rajesh Bhayana•April 1, 2026

Introduction

Choosing a radiology learning platform is a big decision. There are several leading platforms for subspecialty case-based radiology training, each with different strengths. This guide compares Navigating Radiology, CaseStacks, and Medality side by side so you can make an informed choice.

What Each Platform Does

Navigating Radiology

Full DICOM case-based learning with a Fullscreen PACS, AI Attending for Socratic feedback, annotated answers, and expert walkthroughs. The ecosystem also includes RadLingo gamified microlearning and an AI Knowledge search for quick answers. Covers acute imaging essentials, and subspecialty MRI including a body MRI mini-fellowship, Neuro MRI, and MSK MRI. Plans to cover all subspecialties, including breast imaging, Cardiac MRI, Neurovascular imaging, and more. Built by a practising radiologist to bridge the gap in radiology education.

CaseStacks

Case-based learning platform with curated radiology cases, founded by entrepreneurial residents. Strong library for basic call modalities and Neuroimaging (the founders are now neuroradiologists). Lacks any subspecialty abdominal, pelvic, MSK, cardiac, or breast content. No voice mode or gamified microlearning.

Medality

Comprehensive video-centric radiology education platform with 4,000+ cases, world-expert subspecialists, and board prep materials. Higher price point with broader content covering all topics. Overwhelming for most learners — it's easy to spend hours on narrow topics.

Comparison Matrix

Feature	Navigating Radiology	CaseStacks	Medality
Full-screen DICOM PACS viewer	✅	✅	Video-centric (DICOM separate window)
AI Attending (Socratic feedback)	✅	✅	❌
Gamified MicroLearning (RadLingo)	✅	❌	❌
Annotated expert answers	✅	Most Cases	Video
AI Knowledge Search	✅	❌	❌
Body MRI mini-fellowship	✅	❌	✅
MSK MRI	✅	❌	✅
Neuro MRI depth	✅ Growing	✅ Strong	✅ Strong
On-call / acute imaging	✅	✅	✅
Breast / Cardiac / IR	Coming Soon	❌	✅
CME credits included	✅ 120 CME Credits	✅ with per-claim fees	✅ Enterprise tiers
Built for individual trainees	✅	✅	❌ Enterprise-first
Price (annual)	$300/yr or $39/mo (no commitment)	~$400/yr or ~$50–$60/mo (3-mo commitment)	$1,200–$4,999/yr depending on tier

For detailed head-to-head comparisons, see Navigating Radiology vs CaseStacks and Navigating Radiology vs Medality.

See these articles featuring our platform on our AI Attending (AuntMinnie, IT News), and on how we are bridging the gap in radiology education (Canadian Association of Radiologists).

Who Should Choose What?

Choose Navigating Radiology if you want structured, curated courses with a real fullscreen PACS and CME credits included — at the lowest price point ($300/yr). Best for individual trainees and radiologists who value efficiency, depth in Body/MSK MRI, and learning the essentials without drowning in volume.

Choose CaseStacks if you want the highest volume of Neuro MRI/CT cases or extra Call Prep volume to supplement structured learning, and don't need subspecialty Body/MSK/Breast/Cardiac coverage.

Choose Medality if you want comprehensive video lectures rather than a PACS-first experience and don't mind the higher price.

Still deciding? Check our pricing page or try Navigating Radiology free.

Dr. Rajesh Bhayana

Assistant Professor of Radiology, University of Toronto

Dr. Rajesh Bhayana is a practising abdominal radiologist at Toronto General Hospital and Princess Margaret Cancer Centre, an Assistant Professor at the University of Toronto, and the AI & IT Lead at University Medical Imaging Toronto (UMIT). He completed his Diagnostic Radiology residency at the University of Toronto, where he served as Chief Resident, followed by an Abdominal Imaging Fellowship at Massachusetts General Hospital / Harvard Medical School. He is one of the most published voices internationally on the use of large language models (LLMs) in radiology, including the landmark 2023 Radiology studies evaluating ChatGPT on radiology board-style exams, and the state-of-the-art review Primer on LLMs for Radiologists. He is the founder of Navigating Radiology.

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