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What are the existing AI reporting frameworks in healthcare? 


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Several AI-specific reporting standards have been developed for clinical AI studies, including SPIRIT-AI, CONSORT-AI, STARD-AI, TRIPOD-AI, and DECIDE-AI . In addition to these, there are also reporting guidelines for specific study designs such as Standard Protocol Items: Recommendations for Interventional Trials-AI, Consolidated Standards of Reporting Trials-AI, Standards for Reporting of Diagnostic Accuracy Studies-AI, and Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis-AI . Furthermore, there are guidelines that consider AI for health interventions more generally, such as the Checklist for Artificial Intelligence in Medical Imaging and minimum information for Medical AI Reporting . However, economic evaluation of AI health interventions is not currently addressed by existing reporting guidelines .

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The paper does not mention any existing AI reporting frameworks in healthcare. The paper is about the development of an extension to the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) for AI interventions in healthcare.
The existing AI reporting frameworks in healthcare include Standard Protocol Items: Recommendations for Interventional Trials-AI, Consolidated Standards of Reporting Trials-AI, Standards for Reporting of Diagnostic Accuracy Studies-AI, Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis-AI, Checklist for Artificial Intelligence in Medical Imaging (CLAIM), minimum information (MI)-CLAIM, and MI for Medical AI Reporting.
The existing AI reporting frameworks in healthcare include SPIRIT-AI, CONSORT-AI, STARD-AI, TRIPOD-AI, and DECIDE-AI.

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