Phase 1: Preparation |
Data management plan |
2 |
Phase 2: Development |
Definition target use |
14 |
Analysis and modeling steps |
Internal validation |
Robustness |
Size of the dataset for AI model development |
Reproducibility and replicability |
Phase 3: Validation |
Evaluation of statistical characteristics of the artificial intelligence model |
12 |
Fairness and algorithmic bias |
Determining the outcome variable |
Reproducibility and replicability |
Size of the dataset for external validation |
Phase 4: Software application |
Explainability, transparency, design, and information |
4 |
Required standards and regulations |
Phase 5: Impact assessment |
Impact assessment |
10 |
Health technology assessment |
Phase 6: Implementation |
Implementation plan |
6 |
Monitoring |
Education |
Total availability score |
Not applicable |
48 |