Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
Academic research plugin for Claude Code: literature reviews, systematic reviews, peer review and citation checking, with every citation verified against OpenAlex, arXiv and Europe PMC.
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Search 600,000+ CS/AI/ML papers with LLM novelty analysis, citation graph, full-text extraction, and BibTeX, without leaving Claude Code. Built for literature reviews.
★not rated 12
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The research-essay skill: turn an idea into a literature-grounded, tutorial-like standalone HTML essay, with the literature-fetching and build tooling that goes with it.
★not rated 5
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Scientific narrative reviews and draft audits with live literature discovery, verified bibliographic records, independently checked assertions, evidence receipts, and explicit certainty and access limits. Outputs include chat and journal PDFs.
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