… , we constructed an AI-based diagnostic system that was trained using a large number of
EGD images. Here we demonstrate the diagnostic ability of this system to detect esophageal …

… Artificial intelligence is an emerging technology with rapid growth and increasing … developments
of artificial intelligence in diagnosing knee osteoarthritis and predicting outcomes of total …

… performances of a diagnostic or predictive model are … outcome studies for ultimate clinical
verification of diagnostic or predictive artificial intelligence tools through patient outcomes…

… AI is established based on diagnosis outcomes. However, any assessment of diagnostic
outcomes needs to yield meaningful implications. The diagnostic criteria are developed based …

… Artificial Intelligence (AI) algorithms to perform certain clinical tasks involved in BCa diagnosis
and outcome … to explore how AI is used for BCa diagnosis and outcome prediction, and (3) …

… The focus on efficiency and outcomes in the era of value-based care has spurred the large-…
of diagnostic imaging, most of the current research focusing on efficiency and outcomes is …

… likelihood of improving patient outcomes. This metric provided … and treatment as the correct
diagnosis (eg, misclassifying … that reflected the risks and diagnostic similarities of each pair …

… two diagnostic methods more holistically from the perspective of patient outcomes beyond
… outcomes when direct data are unavailable. Nevertheless, the direct assessment of patient …

… The objective of this study was to train a machine learning model to triage patients with …
patient outcomes in the context of the triage. METHODS We trained a machine learning model, …

… and without a differential diagnosis list of AI, respectively. The prevalence of physician
diagnosis identical with the differential diagnosis of AI (primary outcome) was significantly higher …