[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100620042":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":18,"centralContacts":24,"locations":30,"responsibleParty":50,"collaborators":54,"id":59,"slug":60,"hasResults":61,"nctId":62,"briefTitle":63,"officialTitle":64,"acronym":65,"eligibilityCriteria":66,"healthyVolunteers":67,"sex":68,"minAge":69,"maxAge":18,"enrollmentInfo":70,"targetDuration":18,"studyType":73,"phases":74,"briefSummary":76,"conditions":77,"keywords":82,"overallStatus":33,"whyStopped":18,"lastUpdateSubmitDate":93,"lastUpdatePostDateStruct":94,"startDateStruct":97,"completionDateStruct":99,"leadSponsor":101,"locationsCount":102},{"fullName":5,"class":6},"University Hospital, Lille","OTHER",[8,14],{"label":9,"type":10,"description":11,"interventionNames":12},"Group with AI suggestions","EXPERIMENTAL","Participants in this arm will complete the same clinical case vignettes as the control group. For each case, they will receive a suggested diagnosis generated by a large language model (GPT-5, high-reasoning configuration), which was selected after internal benchmarking. Participants can review the AI suggestion before entering their own final diagnostic answer. No additional information, prompts, or coaching is provided. The intervention consists solely of displaying the AI-generated diagnostic suggestion during the case-solving task.",[13],"Other: AI suggestion",{"label":15,"type":16,"description":17,"interventionNames":18},"Group without AI suggestions","NO_INTERVENTION","Participants in this arm will complete the clinical case vignettes independently, without any AI-generated diagnostic suggestions. They will read each vignette and provide their own diagnostic answer based solely on the information presented. No external decision support or additional materials are provided.",null,[20],{"type":6,"name":21,"description":22,"armGroupLabels":23,"otherNames":18},"AI suggestion","This intervention consists of displaying an AI-generated diagnostic suggestion during the clinical case-solving task. After reading each vignette, participants see the top diagnostic proposal produced by a large language model (GPT-5, high-reasoning configuration), selected after internal benchmarking. The AI suggestion appears once per vignette and cannot be requested again or modified. Participants may revise their diagnostic answer after viewing the suggestion, but they cannot return to the vignette later. No additional guidance, coaching, or interactive features are provided.",[9],[25],{"name":26,"role":27,"phone":28,"phoneExt":18,"email":29},"Raphaël BENTEGEAC, MD, MPH","CONTACT","+33651204000","raphael.bentegeac@univ-lille.fr",[31],{"facility":32,"status":33,"city":34,"state":18,"zip":35,"country":36,"countryCode":37,"cosmosGeoPoint":38,"geoPoint":43,"contacts":44},"Lille University Hospital (online study)","RECRUITING","Lille","59000","France","FR",{"type":39,"coordinates":40},"Point",[41,42],3.05512,50.63391,{"lat":42,"lon":41},[45,47],{"name":26,"role":27,"phone":28,"phoneExt":18,"email":46},"raphael.bentegeac@chu-lille.fr",{"name":48,"role":27,"phone":18,"phoneExt":18,"email":49},"Aghiles HAMROUN, MD, PhD","aghiles.hamroun@univ-lille.fr",{"type":51,"investigatorFullName":52,"investigatorTitle":53,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"PRINCIPAL_INVESTIGATOR","Aghiles.HAMROUN","Dr",[55,57],{"name":56,"class":6},"Institut Pasteur de Lille",{"name":58,"class":6},"Lille University","100620042","reasoning-enrichment-with-feedback-from-ia-in-nephrology-trial-100620042",false,"NCT07352475","Reasoning Enrichment With Feedback From IA in NEphrology Trial","Reasoning Enhancement With Feedback From a Generative AI in Nephrology (REFINe): A Randomized Evaluation of Generative AI Support in Nephrology Diagnosis","REFINe","Inclusion Criteria:\n\nAdults aged 18 years or older.\n\nAble to read and answer clinical vignettes in English or French.\n\nAccess to a computer or smartphone with an internet connection.\n\nProvides informed consent online.\n\nParticipants are expected to have at least basic medical training (e.g., medical students, residents, fellows, or practicing clinicians), although no formal verification is required.\n\nExclusion Criteria:\n\nIndividuals under 18 years of age.\n\nInability to complete online study procedures.\n\nPrior involvement in the design, development, or evaluation of the AI system used in this study.",true,"ALL","18 Years",{"count":71,"type":72},100,"ESTIMATED","INTERVENTIONAL",[75],"NA","The goal of this clinical trial is to learn how artificial intelligence (AI) may help doctors make diagnoses in kidney medicine. The researchers want to know whether an AI tool called a large language model (LLM) can help doctors choose the correct diagnosis more often and feel more confident in their answers.\n\nBefore starting the study, the research team tested several AI models and chose one of the best performers, a GPT-5-class model set to use high reasoning effort.\n\nThe main questions this study aims to answer are:\n\n1. Do doctors make more correct diagnoses when they can see AI suggestions?\n2. Does seeing AI suggestions change how confident doctors feel about their diagnosis?\n\nResearchers will compare doctors who receive AI suggestions with doctors who do not receive AI suggestions to see how the AI affects accuracy, confidence, and decision-making.\n\nParticipants will complete up to 10 online clinical cases. For each case, they will:\n\n1. Read a short medical scenario\n2. Suggest up to three possible diagnoses\n\n(If in the AI group) Review the AI's suggestions and decide whether to change their answer\n\nThe study will also look at how long participants take to answer each case and how the AI's performance compares to the human answers.",[78,79,80,81],"Diagnosis","Clinical Decision-making","Artificial Intelligence (AI) in Diagnosis","Decision Support Systems, Clinical",[83,84,85,86,87,88,89,90,91,92],"Large Language Model (LLM)","Generative AI","Diagnostic Accuracy","Clinical Vignettes","Online Study","Randomized Controlled Trial","Nephrology Diagnosis","AI Clinical Decision Support","Human-AI Collaboration","Medical Reasoning","2026-01-12",{"date":95,"type":96},"2026-01-20","ACTUAL",{"date":98,"type":96},"2025-11-20",{"date":100,"type":72},"2026-12-31",{"name":5,"class":6},1]