Contactless Ultrasound Data Acquisition in Emergency Departments to Discriminate the Origin of Dyspnea and Chest Pain

PAnDA-One is a prospective, multicenter, interventional study (10 centers, France) aimed at developing and validating a diagnostic support algorithm based on the ADx-One medical device, which non-invasively acquires thoracic vibrations using airborne ultrasound. The study will enroll 2,500 patients presenting to the emergency department with acute dyspnea or non-traumatic chest pain, divided into a development cohort (N = 1,500) and an independent test cohort (N = 1,000). The deep learning algorithm will be trained to discriminate cardiovascular from non-cardiovascular origins of symptoms, and its performance will be assessed by AUROC, sensitivity, and specificity against a final diagnosis established by an expert adjudication committee. Patient management will not be modified by study participation.

Inclusion Criteria: * Presentation to the emergency department for one or more of the following symptoms of less than 14 days' duration: acute non-traumatic dyspnea, or recent worsening of chronic dyspnea, or non-traumatic chest pain. * Patient able to sit on a chair or on the edge of the bed * Affiliation to national health insurance * Able to receive study information, understand the study, and provide written informed consent Exclusion Criteria: * • Immediate need for life-saving intervention or clinical instability incompatible with study procedures. * Shock or severe hemodynamic instability, for example systolic blood pressure \