U.S., March 10 -- ClinicalTrials.gov registry received information related to the study (NCT07457840) titled 'Integrating AI Predictions With Clinician Expertise' on Feb. 24.
Brief Summary: Optimizing the interaction between the human and the machine is a major topic when deploying artificial intelligence (AI) at the bedside. The goal of this randomized clinical vignette study is to learn if presenting AI model outputs via continuous Bayesian updates and/or uncertainty quantification can improve diagnostic accuracy and clinician trust in healthcare professionals (physicians, residents, fellows, physician assistants (PAs), and nurse practitioners (NPs)) from US academic institutions evaluating patients with chest pain or dyspnea.
The main ...