Table 1.
Summary of Guidelines for Artificial Intelligence Studies
| Name of Artificial Intelligence Extension | Purpose of Artificial Intelligence System* | Study Design | Phase of Development or Testing of the Artificial Intelligence System | Status |
|---|---|---|---|---|
| Development and validation phase | ||||
| STARD AI14 | Diagnosis | Diagnostic accuracy | Testing the diagnostic accuracy of an AI system | In development |
| TRIPOD ML15 | Diagnosis or prognosis | Studies developing, validating, or updating a prediction model | Development, validation, or updating of an AI system, or a combination thereof | In development |
| Testing and regulatory phase | ||||
| CONSORT AI6 | Any health intervention | Randomized trial (report) | Randomized trial report, results for the effectiveness of an AI system | Published online September 9, 2020, in the British Medical Journal, Lancet Digital Health, and Nature Medicine |
| SPIRIT AI7 | Any health intervention | Randomized trial (protocol) | Randomized trial protocol for testing the effectiveness of an AI system | Published online September 9, 2020, in the British Medical Journal, Lancet Digital Health, and Nature Medicine |
AI = artificial intelligence; CONSORT = Consolidated Standards of Reporting Trials; ML = machine learning; SPIRIT = Standard Protocol Items: Recommendations for Interventional Trials; STARD = Standards for Reporting of Diagnostic Accuracy; TRIPOD = transparent reporting of a multivariable prediction model for individual prognosis or diagnosis.
Table courtesy of Alastair Denniston and Xiaoxuan Liu.
For example, diagnosis, prognosis, therapeutic decision making, or risk stratification.