run-tripod-ai-checklist
OfficialCritically appraise health AI studies.
Education & Research#methodology#ai evaluation#critical appraisal#reporting standards#health ai#tripod
AuthorEvidenceOS
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical need to systematically evaluate the quality and validity of published health AI research, combating the prevalence of poorly reported studies.
Core Features & Use Cases
- Systematic Evaluation: Apply the comprehensive TRIPOD+AI checklist to assess reporting standards of health AI studies.
- Gap Identification: Pinpoint critical deficiencies in study methodology, data handling, and reporting that undermine findings.
- Evidence Assessment: Produce structured reports to inform clinical practice and research direction.
- Use Case: A clinician encounters a new AI diagnostic tool in a medical journal. They use this Skill to apply the TRIPOD+AI checklist, ensuring the study's claims are robust and the tool is reliable before considering its adoption.
Quick Start
Apply the TRIPOD+AI checklist to the study titled 'AI-driven diabetic retinopathy detection'.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: run-tripod-ai-checklist Download link: https://github.com/EvidenceOS/awesome-health-ai-skills/archive/main.zip#run-tripod-ai-checklist Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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