protocolSection identificationModule nctId: NCT06328075, orgStudyIdInfo id: AI-ATTR-ECHO, secondaryIdInfos id: 20211029191554, type: OTHER, domain: registre général des traitements de l'APHP, briefTitle: Artificial Intelligence to Assist the Echocardiographic Identification of Transthyretin Cardiac Amyloidosis, acronym: AI-ATTR-ECHO, statusModule overallStatus: RECRUITING, startDateStruct date: 2022-01-01, primaryCompletionDateStruct date: 2025-01-01, completionDateStruct date: 2026-01-01, studyFirstPostDateStruct date: 2024-03-25, lastUpdatePostDateStruct date: 2024-03-25, sponsorCollaboratorsModule leadSponsor name: Algalarrondo Vincent, class: OTHER, collaborators name: Bichat Hospital, collaborators name: Bioquantis, descriptionModule briefSummary: The goal of this study is to develop an algorithm using artificial intelligence (AI) to assist identification of potential ATTR-CM cases using routine transthoracic echocardiography.The main questions it aims to answer are:* is the algorithm able to diagnose ATTR-CM* is the algorithm able to diagnose different types of ATTR-CM (ATTRv, ATTRwt)This is a non interventional study. Participant' echocardiographies will be, after deidentification, used to train, valid and test the algorithm., conditionsModule conditions: Amyloid Cardiomyopathy, conditions: Transthyretin Amyloid Cardiomyopathy, conditions: Transthyretin Cardiac Amyloidosis, designModule studyType: OBSERVATIONAL, designInfo observationalModel: CASE_CONTROL, timePerspective: OTHER, enrollmentInfo count: 15000, type: ESTIMATED, armsInterventionsModule interventions name: non interventional study, outcomesModule primaryOutcomes measure: Building and validating the diagnostic performance metrics curves of the AI algorithm to diagnose ATTR-CM :, primaryOutcomes measure: Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTR-CM :, secondaryOutcomes measure: Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTRwt-CM :, secondaryOutcomes measure: Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTRv-V122I-CM :, secondaryOutcomes measure: Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTRv-CM :, secondaryOutcomes measure: Building and validating the diagnostic performance metrics of the AI algorithm to differentiate ATTR-CM from LV hypertrophy (LVH) :, secondaryOutcomes measure: Building and validating the diagnostic performance metrics curves of the AI algorithm to diagnose ATTRwt-CM :, secondaryOutcomes measure: Building and validating the diagnostic performance metrics curves of the AI algorithm to diagnose ATTRv-V122I-CM :, secondaryOutcomes measure: Building and validating the diagnostic performance metrics curves of the AI algorithm to diagnose ATTRv-CM :, secondaryOutcomes measure: Building and validating the diagnostic performance metrics curves of the AI algorithm to differentiate ATTR-CM from LV hypertrophy (LVH) :, eligibilityModule sex: ALL, minimumAge: 18 Years, stdAges: ADULT, stdAges: OLDER_ADULT, contactsLocationsModule locations facility: Bichat, status: RECRUITING, city: Paris, zip: 75018, country: France, contacts name: Vincent Algalarrondo, MD, PhD, role: CONTACT, phone: +33140257785, email: vincent.algalarrondo@aphp.fr, contacts name: Gregory Ducrocq, PD, PhD, role: CONTACT, email: gregory.ducrocq@aphp.fr, geoPoint lat: 48.85341, lon: 2.3488, hasResults: False