[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"avoidant-restrictive-food-intake-disorder\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:avoidant-restrictive-food-intake-disorder":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,49],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":30,"overallStatus":36,"whyStopped":4,"lastUpdateSubmitDate":37,"lastUpdatePostDateStruct":38,"startDateStruct":41,"completionDateStruct":43,"leadSponsor":45,"locationsCount":48},"100561803","eating-disorders-genetics-initiative-2-100561803",false,"NCT06594913","Eating Disorders Genetics Initiative 2","EDGI2","Inclusion Criteria:\n\n* A lifetime history of anorexia nervosa, bulimia nervosa, binge-eating disorder, avoidant restrictive food intake disorders or no history of any disordered eating behavior, based on DSM-5 criteria algorithms\n* Age 12-99 years, depending on country. (US enrollment age is 18-99)\n\nExclusion Criteria:\n\n* History of subthreshold disordered eating behaviors.",true,"ALL","12 Years","99 Years",{"count":21,"type":22},20000,"ESTIMATED","OBSERVATIONAL","The overarching intention of the Eating Disorder Genetics Initiative 2 (EDGI2) is to increase sample size, diversity, and eating disorder phenotypes. The investigators are enrolling 20,000 new participants with anorexia nervosa (AN), bulimia nervosa (BN), binge-eating disorder (BED), avoidant\u002Frestrictive food intake disorder (ARFID), and controls in the US, Mexico, Australia, New Zealand, Sweden, and Denmark. A primary study goal is to enroll at least 30% of participants from underrepresented groups. Participants are asked to complete a series of questionnaires and submit a saliva sample for genotyping. The goal is to better understand eating disorders and how they relate to each other so that better treatments can be developed.",[26,27,28,29],"Anorexia Nervosa","Bulimia Nervosa","Binge-Eating Disorder","Avoidant Restrictive Food Intake Disorder",[31,32,33,34,35],"severe and enduring eating disorder","genetics","mental health","disordered eating","environmental factors","RECRUITING","2026-07-06",{"date":39,"type":40},"2026-07-08","ACTUAL",{"date":42,"type":40},"2024-10-28",{"date":44,"type":22},"2027-09-01",{"name":46,"class":47},"University of North Carolina, Chapel Hill","OTHER",5,{"id":50,"slug":51,"hasResults":11,"nctId":52,"briefTitle":53,"officialTitle":54,"acronym":4,"eligibilityCriteria":55,"healthyVolunteers":11,"sex":17,"minAge":56,"maxAge":57,"enrollmentInfo":58,"targetDuration":4,"studyType":60,"phases":61,"briefSummary":63,"conditions":64,"keywords":65,"overallStatus":69,"whyStopped":4,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":4},"100593478","scalable-clinician-supervised-generative-ai-food-chaining-assistant-for-pediatric-arfid-100593478","NCT07006961","Scalable, Clinician-Supervised Generative-AI Food-Chaining Assistant for Pediatric ARFID","Scalable, Clinician-Supervised Generative-AI Food-Chaining Assistant for Pediatric ARFID: A Pilot Randomized Controlled Trial","Inclusion Criteria:\n\n* Children must be aged 3-17 years\n* Children must have caregiver- or participant-reported DSM-5 ARFID diagnosis and\u002For EDYQ-screen-positive Avoidant Restrictive Food Intake Disorder\n* English proficiency.\n\nExclusion Criteria:\n\n* Lack of English proficiency \\[As there is no validated non-English version of the NIAS, we must exclude caregivers who do not have English proficiency\\]\n* Participants must not have been previously treated at Boston Children's for ARFID","3 Years","17 Years",{"count":59,"type":22},125,"INTERVENTIONAL",[62],"NA","Children with Avoidant\u002FRestrictive Food Intake Disorder (ARFID) often lack access to specialty dietitians, and scalable nutritional guidance\u002Ffood chaining tools are currently not available. The investigators will evaluate a web-based, clinician-supervised, generative-AI assistant that produces individualized food-chaining plans.\n\nDevelop an AI assistant that generates ≥15 allergy-safe, evidence-based chaining steps per participant and meets ≥90 % expert agreement for safety\u002Fappropriateness.\n\nValidate the assistant against gold-standard clinician recommendations (Cohen's κ ≥ 0.80).\n\nTest clinical impact in a three-month pilot RCT (n = 96) by comparing change in Nine-Item ARFID Screen (NIAS) scores between intervention and usual-care groups.\n\nHypothesis: AI-generated plans will reduce NIAS scores by ≥3 points relative to controls.",[29],[66,67,68],"ARFID","artificial intelligence","food chaining","NOT_YET_RECRUITING","2025-06-04",{"date":72,"type":40},"2025-06-06",{"date":74,"type":22},"2025-06-15",{"date":76,"type":22},"2025-10-31",{"name":78,"class":47},"Boston Children's Hospital"]