Learn how ACR LI-RADS CT/MRI v2018 categorizes liver observations in patients at high risk for hepatocellular carcinoma. Free online calculator with structured reporting.
Learn how to apply ACR Lung-RADS v2022 to low-dose CT lung cancer screening. Free online calculator with structured reporting for solid, part-solid, and ground-glass nodules.
Learn how O-RADS US v2022 and O-RADS MRI 2022 score ovarian and adnexal masses. Free online calculator with lexicon-based scoring and structured reporting.
Learn how PI-RADS v2.1 scores prostate multiparametric MRI, zone by zone. Free structured report generator with DWI-dominant PZ, T2W-dominant TZ, and DCE upgrade logic.
An overview of the six ACR RADS systems — TI-RADS, Lung-RADS, BI-RADS, LI-RADS, PI-RADS, and O-RADS — with a free structured report calculator for each.
MedSci Skills grows from 22 to 32 skills. Five new skills — humanize, author-strategy, peer-review, ma-scout, lit-sync — plus anti-hallucination citation verification now active across the full bundle, and a new CI validation script.
MedSci Skills v2.2 introduces autonomous end-to-end manuscript generation — from raw data to submission-ready DOCX with no human gates. New Phase 7 QC chain, 33 reporting guidelines, structured JSON outputs, and post-skill validation.
Learn how to use the ACR BI-RADS 5th edition lexicon for mammography, ultrasound, and MRI. Free structured report generator with PACS-ready output, kinetic curve analysis, and multi-finding support.
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.
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.