Table 1.

Description of Reporting Guidelines Included Within the AImedReport

Reporting guideline	Description
Consolidated Standards of Reporting Trials—Artificial Intelligence (CONSORT-AI)	Aims to promote transparency and completeness in reporting clinical trials for AI interventions, helping to understand, interpret, and appraise the quality of clinical trial design and risk of bias in the reported outcomes; focuses on reporting the results of clinical trials
Developmental and Exploratory Clinical Investigation of Decision-support systems driven by Artificial Intelligence (DECIDE-AI)	Aims to improve the reporting of studies describing the evaluation of AI-based decision-support systems during their early, small-scale implementation in live clinical settings
ML Test Score	Aims to measure production readiness of a machine learning system by offering a scoring system that focuses on assessing testing and monitoring needs
Model Card	Aims to encourage transparent model reporting, clarifying the intended use cases of models and detailing performance characteristics
Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT-AI)	Aims to promote transparent prospective evaluation and completeness of clinical trial protocol reporting for AI interventions; focuses on publishing the clinical trial protocol before the trial is conducted
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD)	Aims to improve the transparency and reporting of studies developing, validating, or improving a prediction model

AI, artificial intelligence.