ai-writing-skills

Comprehensive checklist for reviewing academic medical AI manuscripts, covering objective identification, Background, Methods, Results, Tables, Discussion, and Abstract sections with success criteria for each. Use when reviewing or evaluating a manuscript draft.

Guide for writing AI paper following TRIPOD+AI guidelines, covering objective identification, data sources, model development, evaluation criteria with sensitivity analysis, and presentation best practices. Use when writing or structuring a medical AI manuscript.

Audit non-RCT CIHR Project Grant applications (registry, cohort, prediction model, biobank, observational, AI/tech) for aim-hypothesis-endpoint-methods traceability, cross-references, abbreviations, garbled text, and terminology consistency. Use when auditing, reviewing, or QCing a non-RCT CIHR grant.

Audit CIHR Project Grant clinical trial (RCT) protocols for objective-endpoint-analysis traceability, cross-reference integrity, CIHR section compliance, budget-protocol alignment, and terminology consistency. Use when auditing, reviewing, or QCing a CIHR clinical trial protocol.

Full guide for writing a medical AI manuscript from scratch, covering all sections (Introduction, Methods, Results, Discussion, Abstract) with structure, style, and reporting standards. Use when drafting a new AI manuscript or when you need section-by-section writing instructions beyond TRIPOD-AI results reporting.

Section-by-section guide for writing CIHR Project Grant applications, covering RCTs, AI/technology, observational studies, with scoring rubrics and templates. Use when drafting, reviewing, or scoring a CIHR grant application.

Guide for writing high-quality clinical research protocols for AI-based diagnostic studies, validation trials, and retrospective analyses. Use when drafting or reviewing a research protocol for AI in medicine.