Aperivue
Official@aperivue · Seoul, South Korea
Medical imaging + AI software by Dr. Yoojin Nam
Agent Skills by Aperivue
Showing 34 vetted skills indexed across 1 GitHub repositories.
Aperivuepublish-skill
Convert personal Claude Code skills into distributable packages with PII audits.
Aperivueacademic-aio
Optimize medical AI papers for AI search engines and RAG tools.
Aperivueself-review
Generate anticipated reviewer comments with severity framing for manuscript submissions.
Aperivuemeta-analysis
Run end-to-end medical meta-analyses from protocol to PRISMA-compliant reporting.
Aperivuefind-cohort-gap
Convert cohort metadata into ranked research topic proposals with novelty evidence.
Aperivuema-scout
Identify viable meta-analysis topics and feasibility across PubMed, Consensus, Scholar Gateway, and preprints.
Aperivueadd-journal
Extract journal metadata from author guidelines and generate write-paper and find-journal profiles.
Aperivuecalc-sample-size
Compute sample size and power for medical research study designs.
Aperivuecheck-reporting
Audit manuscripts for guideline-compliant reporting with item-by-item assessments.
Aperivuewrite-protocol
Convert study inputs into structured IRB protocol documents with core and skeleton sections.
Aperivuefill-protocol
Fill Word template tables and sections from YAML data while preserving formatting.
Aperivuereplicate-study
Extract study design and generate analysis code for database replication.
Aperivuepresent-paper
Analyze research papers and plan presentation workflows with scripts and slide notes.
Aperivueanalyze-stats
Generate reproducible Python or R code for medical research statistics.
Aperivuegrant-builder
Structure grant proposals for radiology and medical AI projects.
Aperivuelit-sync
Parse BibTeX entries and synchronize them into Zotero and Obsidian notes.
Aperivuedeidentify
Detect and classify PHI columns using locale-aware patterns and column-name heuristics.
Aperivuecross-national
Harmonize variables across KNHANES, NHANES, and CHNS for parallel weighted analyses.
Aperivuebatch-cohort
Generate multiple analysis scripts from a validated template across exposure/outcome pairs.
Aperivueintake-project
Classify radiology research projects and scaffold PROJECT.md and STATUS.md files.
Aperivueclean-data
Profile clinical CSV/Excel datasets and generate reproducible cleaning scripts.
Aperivuefill-icmje-coi
Generate per-author ICMJE COI disclosure documents from a pre-filled seed docx.
Aperivuehumanize
Detect and remove 18 AI writing patterns from academic manuscripts.
Aperivuedesign-study
Analyzes radiology AI study designs for validity risks and improvements.
Frequently Asked Questions About Aperivue
FAQPage SchemaWhat specific research tasks can Aperivue perform?▼
Aperivue enables end-to-end medical manuscript production, including IMRAD structuring, PRISMA-compliant meta-analysis, sample size calculation, and automated ICMJE conflict-of-interest disclosure generation. It also supports clinical data cleaning, PHI deidentification, and cross-national health survey harmonization.
Who is the target persona for these research capabilities?▼
The platform is designed for medical researchers, radiology scientists, and clinical investigators who require reproducible, guideline-compliant documentation. It serves academics managing complex publication lifecycles, from initial IRB protocol drafting to final peer-review response management.
What are the prerequisites for using these research modules?▼
Users require structured input data, such as clinical CSV/Excel datasets, BibTeX reference files, or existing manuscript drafts. The system functions by processing these inputs against established medical reporting guidelines and journal-specific metadata profiles.