Learn to see what matters.

RADSpace is an interactive learning platform where medical students and trainees practise the core act of imaging: finding the abnormality. Each case presents a brief clinical history and a radiology image or ultrasound clip. You click where you believe the key finding is, commit to a diagnosis, rate your confidence — and only then is the answer revealed, with the correct region highlighted, a structured explanation, a sample report, and a case-specific AI tutor for follow-up questions.

Reading about a pneumothorax is not the same as finding one. Educational research consistently favours active retrieval and immediate feedback over passive review — and image interpretation is, above all, a perceptual skill built through deliberate practice. By committing to a location and a confidence level before seeing the answer, learners confront exactly what they saw, what they missed, and how well their certainty tracked reality. That loop — commit, compare, correct — is the engine of the platform.

To make radiology and point-of-care ultrasound education more active, accessible, and clinically relevant — for medical students, junior residents, and every healthcare trainee learning to interpret images. We focus on the common, high-value findings that every clinician should recognize, taught with the systematic search patterns radiologists actually use.