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πPlugins9
Reproducible statistical analysis, publication-ready figures, batch/cross-national/replication analysis, and meta-analysis synthesis.
IMRAD manuscript and IRB-protocol drafting, AI-pattern removal, AI-search optimization, and reviewer-response letters.
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.
Research orchestration, project intake and management, research-gap and meta-analysis topic discovery, and author-strategy analysis.
Academic presentation and PPTX building, PDF/document rendering, environment setup, and skill publishing.
Pre-submission self-review, peer-review drafting, and reporting-guideline compliance audits against EQUATOR checklists.
Literature search with anti-hallucination citation verification, full-text retrieval, Zotero/Obsidian sync, and reference-integrity audits.
Submission packaging, journal recommendation and profiling, institutional form filling (ICMJE COI, IRB), and grant proposals.
Study design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.