Tool category
Medical AI
Section content
8 instruments in this category.
Clinical-AI evidence, validation gates, dataset checks, human factors and safety-hazard instruments.
AI/ML Medical Device Security Hazard Mapper
Maps false-data injection, model, data, identity and monitoring hazards for AI/ML medical systems.
- Best for
- Medical AI security hazard map
- Input
- 6 scored fields · 1 context fields
- Output
- Medical AI security hazard map
- Method
- hazard map
- Maturity
- Prototype · v1.0
- Limits
- Preliminary output · Human review required · Not certification
Clinical AI Calibration & Subgroup Stress-Test Planner
Plans calibration, threshold, subgroup, drift and harm-sensitivity checks for clinical AI.
- Best for
- Clinical AI calibration and subgroup stress-test plan
- Input
- 6 scored fields · 1 context fields
- Output
- Clinical AI calibration and subgroup stress-test plan
- Method
- validation protocol
- Maturity
- Prototype · v1.0
- Limits
- Preliminary output · Human review required · Not certification
Clinical AI Evidence Dossier Builder
Builds a structured intended-use, validation, safety and lifecycle evidence dossier for clinical AI.
- Best for
- Clinical AI evidence dossier
- Input
- 6 scored fields · 2 context fields
- Output
- Clinical AI evidence dossier
- Method
- validation protocol
- Maturity
- Prototype · v2.0
- Limits
- Preliminary output · Human review required · Not certification
Clinical AI Validation Gate
Maps clinical AI intended use, validation evidence, subgroup performance and workflow controls into a gap report.
- Best for
- Clinical AI validation gap report
- Input
- 12 scored fields · 4 context fields
- Output
- Clinical AI validation gap report
- Method
- validation protocol
- Maturity
- Prototype · v1.3
- Limits
- Preliminary output · Human review required · Not certification
Generative Clinical AI Evaluation Protocol
Structures evaluation of clinical LLM/VLM outputs, hallucination, citation, safety and user workflow evidence.
- Best for
- Generative clinical AI evaluation protocol
- Input
- 6 scored fields · 1 context fields
- Output
- Generative clinical AI evaluation protocol
- Method
- validation protocol
- Maturity
- Prototype · v1.0
- Limits
- Preliminary output · Human review required · Not certification
Medical AI Dataset & Ground Truth Assessor
Assesses dataset provenance, representativeness, reference standards, adjudication and leakage controls.
- Best for
- Medical AI dataset and reference-standard assessment
- Input
- 6 scored fields · 1 context fields
- Output
- Medical AI dataset and reference-standard assessment
- Method
- evidence matrix
- Maturity
- Prototype · v1.0
- Limits
- Preliminary output · Human review required · Not certification
Prediction Model Reproducibility Pack Checker
Checks whether a biomedical prediction model has reproducible code, data, environment and reporting artifacts.
- Best for
- Prediction model reproducibility pack check
- Input
- 6 scored fields · 1 context fields
- Output
- Prediction model reproducibility pack check
- Method
- validation protocol
- Maturity
- Prototype · v1.0
- Limits
- Preliminary output · Human review required · Not certification
Prospective Clinical Workflow & Human Factors Planner
Builds a prospective workflow, user, override and human-factors evaluation plan.
- Best for
- Prospective clinical workflow and human-factors plan
- Input
- 6 scored fields · 1 context fields
- Output
- Prospective clinical workflow and human-factors plan
- Method
- validation protocol
- Maturity
- Prototype · v1.0
- Limits
- Preliminary output · Human review required · Not certification