Study design | Reporting guideline | Latest version | AI-related extension | Date of AI-extension published |
Clinical Trial Protocol | SPIRIT | 2013 | SPIRIT-AI | September 2020 |
Diagnostic Accuracy Studies | STARD | 2015 | STARD-AI | Expected 2021 |
CLAIM | March 2020 | |||
MINIMAR | June 2020 | |||
Prediction models for diagnostic or prognostication purposes | TRIPOD | 2015 | TRIPOD –AI/ML | Expected 2021 |
PROBAST | 2019 | PROBAST-ML | Expected 2021 | |
Randomised Controlled Trials (Interventional Study Design) | CONSORT | 2010 | CONSORT-AI | September 2020 |
Systematic reviews and meta-analyses | PRISMA PRISMA-DTA | 2009 2018 | None planned or announced | |
Critical appraisal and data extraction of publications relating to prediction models | CHARMS | 2014 | Applicable to machine learning | |
Evaluation of human factors in early algorithm deployment | Not applicable | DECIDE-AI | Expected 2021/2022 |
AI, artificial intelligence; CHARMS, Checklist for critical appraisal and data extraction for systematic reviews of prediction modelling studies; CLAIM, Checklist for Artificial Intelligence in Medical Imaging; CONSORT, Consolidated Standards of Reporting Trials; DECIDE-AI, Developmental and Exploratory Clinical Investigation of Decision-support systems driven by Artificial Intelligence; DTA, Diagnostic Trials of Accuracy; MINIMAR, Minimum Information for Medical AI Reporting; ML, machine learning; PRISMA, Preferred Reporting Items for Systematic Review and Meta-analysis; PROBAST, Prediction model Risk Of Bias Assessment Tool; SPIRIT, Standard Protocol Items: Recommendations for Interventional Trials; STARD, Standards for Reporting of Diagnostic Accuracy Studies; TRIPOD, Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis.