Insights on medical AI, radiology, and building diagnostic tools.
We ran three public datasets — Wisconsin Breast Cancer, BCG vaccine meta-analysis, and NHANES obesity — through MedSci Skills. Each produced a complete manuscript, publication-ready figures, reporting compliance audit, and presentation slides.
A radiology resident with no coding background built an open-source toolkit that automates systematic reviews, manuscript writing, and statistical analysis — using nothing but Claude Code and domain expertise.
Learn how to audit your observational study manuscript against all 22 STROBE checklist items using a free, open-source AI tool. Step-by-step guide with examples.
Learn how to use ACR TI-RADS, K-TIRADS, and EU-TIRADS scoring systems for thyroid nodule assessment. Free online calculator with structured reporting.
Introducing Aperivue — building smarter tools for medical imaging and radiology AI.
A radiology clinic in Busan, South Korea, has built a fully AI-integrated breast imaging workflow. What does this tell us about the future of clinical AI adoption?
AI systems keep claiming to outperform radiologists, but what does 'better' actually mean in clinical practice? A radiologist's perspective on the nuances that benchmarks miss.
What medical training reveals about the nature of expertise in complex systems — and why formulas fail in both medicine and investing.