[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100642257":3},{"organization":4,"armGroups":7,"interventions":18,"overallOfficials":24,"centralContacts":29,"locations":35,"responsibleParty":48,"collaborators":10,"id":50,"slug":51,"hasResults":52,"nctId":53,"briefTitle":54,"officialTitle":55,"acronym":56,"eligibilityCriteria":57,"healthyVolunteers":52,"sex":58,"minAge":59,"maxAge":10,"enrollmentInfo":60,"targetDuration":10,"studyType":63,"phases":10,"briefSummary":64,"conditions":65,"keywords":68,"overallStatus":74,"whyStopped":10,"lastUpdateSubmitDate":75,"lastUpdatePostDateStruct":76,"startDateStruct":79,"completionDateStruct":81,"leadSponsor":83,"locationsCount":84},{"fullName":5,"class":6},"Austral Diagnostics","INDUSTRY",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"training cohort",null,"All patients will follow the same intervention but data from this cohort will only be used for training the algorithm.",[13],"Device: All patients from both groups will be imaged with airborne ultrasound device",{"label":15,"type":10,"description":16,"interventionNames":17},"Test Cohort","All patients will follow the same intervention but data from this cohort will only be used for testing the algorithm.",[13],[19],{"type":20,"name":21,"description":22,"armGroupLabels":23,"otherNames":10},"DEVICE","All patients from both groups will be imaged with airborne ultrasound device","Patients from both cohorts will follow their usual routine, except for stepping in front of the machine so that one or two images of their chest and back can be taken.",[15,9],[25],{"name":26,"affiliation":27,"role":28},"Yonathan Freund, Professor","Assistance Publique - Hôpitaux de Paris","PRINCIPAL_INVESTIGATOR",[30],{"name":31,"role":32,"phone":33,"phoneExt":10,"email":34},"Beatrice Spiluttini, PhD","CONTACT","0033603491582","clinical-investigation@australdx.fr",[36],{"facility":37,"status":10,"city":38,"state":10,"zip":39,"country":40,"countryCode":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":10},"La Pitié-Salpêtrière","Paris","75013","France","FR",{"type":43,"coordinates":44},"Point",[45,46],2.3488,48.85341,{"lat":46,"lon":45},{"type":49,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR","100642257","contactless-ultrasound-data-acquisition-in-emergency-departments-to-discriminate-the-origin-of-dyspnea-and-chest-pain-100642257",false,"NCT07653204","Contactless Ultrasound Data Acquisition in Emergency Departments to Discriminate the Origin of Dyspnea and Chest Pain","Prospective Study for Data Acquisition in Emergency Departments to Develop a Discrimination Algorithm for the Origin of Dyspnea and Chest Pain Using the ADx-One Medical Device","PAnDA-One","Inclusion Criteria:\n\n* 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.\n* Patient able to sit on a chair or on the edge of the bed\n* Affiliation to national health insurance\n* Able to receive study information, understand the study, and provide written informed consent\n\nExclusion Criteria:\n\n* • Immediate need for life-saving intervention or clinical instability incompatible with study procedures.\n\n  * Shock or severe hemodynamic instability, for example systolic blood pressure \\\u003C90 mmHg for at least 30 minutes or associated signs of hypoperfusion.\n  * Altered mental status or any condition preventing provision of valid informed consent.\n  * Known cognitive impairment preventing informed consent.\n  * Transfer to another care site before the ADx-One acquisition can be performed.\n  * Known pregnancy\n  * Minor, legally protected adult, or person deprived of liberty.\n  * Participation in another interventional clinical study judged incompatible with this study.","ALL","18 Years",{"count":61,"type":62},2500,"ESTIMATED","OBSERVATIONAL","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.\n\nThe 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.\n\nPatient management will not be modified by study participation.",[66,67],"Dyspnea","Chest Pain",[69,70,71,72,73],"airborne ultrasound","dyspnea","chest pain","emergency department","algorithm","NOT_YET_RECRUITING","2026-06-15",{"date":77,"type":78},"2026-06-17","ACTUAL",{"date":80,"type":62},"2026-09",{"date":82,"type":62},"2027-05",{"name":5,"class":6},1]