QUADAS-AI: Evaluating AI in Diagnostic and Prognostic Studies

QUADAS-AI is a tool used for evaluating the quality of studies that use artificial intelligence (AI) for diagnostic and prognostic purposes. It's an extension of the QUADAS-2 tool, which is widely used for evaluating the quality of studies that use imaging tests for diagnosis.

QUADAS-AI consists of four domains: patient selection, index test, reference standard, and flow and timing. Each domain has a set of criteria that are used to assess the quality of the study. The tool also includes a set of signaling questions to help identify potential sources of bias and applicability concerns.

The use of QUADAS-AI helps to ensure that studies using AI for diagnostic and prognostic purposes are conducted in a rigorous and transparent manner, and that the results are reliable and applicable to clinical practice.