Medical AI paper optimization for AI search engines (Perplexity, ChatGPT web, Elicit, Consensus, SciSpace) and RAG-based literature tools. Applies when drafting or reviewing titles, abstracts, structured summary boxes (Key Points / Research in Context / Plain-Language Summary), manuscripts for high-impact medical AI journals (Lancet Digital Health, Radiology, Radiology-AI, npj Digital Medicine, Nature Medicine), preprints (medRxiv/arXiv), GitHub README + CITATION.cff + Zenodo archives, and Huggi
mdr add aperivue/medsci-skills/academic-aio@git:20260805.5cfcaecmdr add aperivue/medsci-skills/academic-aio@sha256:9e43ec3cc38ab198[](https://markdownregistry.com/a/art_bjqo4pjneyypyuon)
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| version | committed | commit | size | audit | |
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| git:20260805.5cfcaec latest | 2026-08-05 | 5cfcaec | 32,773 B | A | view · diff |
| git:20260728.214054b | 2026-07-28 | 214054b | 32,767 B | A | view · diff |
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| git:20260621.c14ffa5 | 2026-06-21 | c14ffa5 | 31,396 B | A | view · diff |
| git:20260516.368d612 | 2026-05-16 | 368d612 | 30,948 B | A | view |
aperivue/medsci-skills · 283 stars · license MIT · pushed 2026-09-05 · branch main
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