… cohort to avoid overestimating the clinical performance as a result of overfitting in high-…
diagnostic or predictive artificial intelligence tools through patient outcomes, beyond performance …

… artificial intelligence (AI) to improve and reduce inequities in access, quality, and appropriateness
of high-quality diagnosis … approaches for a variety of diagnostic tasks. However, such …

… of artificial intelligence (AI)-centred diagnostic systems. This systematic review summarizes
… clinical applicability and diagnostic performance of AI-centred systems in the diagnosis and …

… Then, the areas under the curve (AUCs), derived indexes of accuracy, were calculated to
describe the overall diagnostic performance of the AI software and to compare the diagnostic …

… to the diagnostic performance of AI-assisted CT diagnostic … the diagnostic performance of
AI-assisted CT diagnostic … ; (II) at least one machine learning algorithm was used as a classifier; …

… -based computer-aided diagnosis (AI-CAD) compared to that … Diagnostic performance was
compared between radiologists … Our findings suggest that the diagnostic performance of AI-…

… `s performance for diagnosing pneumonia [13, 14]. … artificial intelligence (AI) model for the
diagnosis of pneumonia using the public open database of CXR and to evaluate the diagnostic …

… Artificial intelligence (AI) applied to pediatric chest … , we assessed the diagnostic performance
of the software. For the … adult chest radiographs showed diagnostic accuracies up to 96.9% …

… creates an imperative to improve diagnosis and treatments. … developments in artificial
intelligence (AI), machine learning, … study is to assess the diagnostic performance of an AI-based …

… into US image analysis could help improve US diagnostic performance. While the DS system
is … for DS integration and its impact on diagnostic accuracy. The impact on two different …