[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100601237":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":24,"locations":33,"responsibleParty":54,"collaborators":19,"id":57,"slug":58,"hasResults":59,"nctId":60,"briefTitle":61,"officialTitle":62,"acronym":19,"eligibilityCriteria":63,"healthyVolunteers":64,"sex":65,"minAge":66,"maxAge":67,"enrollmentInfo":68,"targetDuration":19,"studyType":71,"phases":72,"briefSummary":74,"conditions":75,"keywords":77,"overallStatus":36,"whyStopped":19,"lastUpdateSubmitDate":82,"lastUpdatePostDateStruct":83,"startDateStruct":86,"completionDateStruct":88,"leadSponsor":90,"locationsCount":91},{"fullName":5,"class":6},"Stanford University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Voice Artificial Intelligence (AI) Group","EXPERIMENTAL","Participants will remotely engage with an AI-simulated parent of a pediatric patient through a voice call, discussing a clinical scenario concerning their child. The participant's communication skills will be assessed using an artificial intelligence (AI) system and two human evaluators using the same rating scales.",[13],"Other: Communication Assessment through AI and Human",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":19},"Communication Assessment through AI and Human","Participants will remotely engage in an AI-generated simulation that presents an voice-based conversation with a simulated parent of a pediatric patient. The scenario involves discussing a clinical scenario concerning their child. Following the simulation, the participant's communication skills will be assessed using an artificial intelligence (AI) system trained to evaluate the key aspects of communication using standardized rating scales. In addition, two human evaluators will assess the participant's communication skills using the same rating scales.",[9],null,[21],{"name":22,"affiliation":5,"role":23},"Thomas Caruso, MD, PhD","PRINCIPAL_INVESTIGATOR",[25,30],{"name":26,"role":27,"phone":28,"phoneExt":19,"email":29},"Asheen Rama, MD","CONTACT","650-723-5728","asheen21@stanford.edu",{"name":22,"role":27,"phone":31,"phoneExt":19,"email":32},"650-497-0927","tjcaruso@stanford.edu",[34],{"facility":35,"status":36,"city":37,"state":38,"zip":39,"country":40,"countryCode":41,"cosmosGeoPoint":42,"geoPoint":47,"contacts":48},"Lucile Packard Children's Hospital Stanford","RECRUITING","Palo Alto","California","94304","United States","US",{"type":43,"coordinates":44},"Point",[45,46],-122.14302,37.44188,{"lat":46,"lon":45},[49,51],{"name":26,"role":27,"phone":50,"phoneExt":19,"email":29},"3106994815",{"name":52,"role":27,"phone":53,"phoneExt":19,"email":32},"Thomas J Caruso, MD, PhD","6507235728",{"type":23,"investigatorFullName":55,"investigatorTitle":56,"investigatorAffiliation":5,"oldNameTitle":19,"oldOrganization":19},"Thomas Caruso","Clinical Professor","100601237","use-of-artificial-intelligence-to-assess-trainee-communication-compared-to-human-assessment-100601237",false,"NCT07107880","Use of Artificial Intelligence to Assess Trainee Communication Compared to Human Assessment","Artificial Intelligence Assessment of Trainee Communication Compared to Human Assessment: A Prospective Cohort Study","Inclusion Criteria:\n\n* Participant's must be 18 years of age or older\n* Graduate medical trainess such as residents and fellows at all levels of training excluding PGY1 trainees at Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University\n* Able to speak and understand English\n* Willing and able to provide consent to participate in research\n* Able to participate in Artificial Intelligence communication simulation\n\nExclusion Criteria:\n\n* Non-English speaker\n* unable to provide consent to participate in research\n* individual with no access to the necessary technology (internet, computer\u002Fsmart device) required for participating in the digital, voice-based interaction with the AI platform",true,"ALL","18 Years","99 Years",{"count":69,"type":70},45,"ESTIMATED","INTERVENTIONAL",[73],"NA","This study will evaluate whether a web-based artificial intelligence platform (AI) (Clinical Mind AI \\[CMAI\\] Stanford, CA), can assess communication skills in anesthesiology trainees, including residents and fellows, in the setting of disclosing medical errors. All participants will participate in an AI-generated simulation by using the platform remotely, and CMAI will assess trainee performance immediately after the simulation.",[76],"Communication Skills",[78,79,80,81],"Voice Artificial Intelligence (AI)","Simulation","Clinical Mind Artificial Intelligence (CMAI)","Medical Error Disclosure","2026-04-21",{"date":84,"type":85},"2026-04-24","ACTUAL",{"date":87,"type":85},"2025-11-10",{"date":89,"type":70},"2026-11-14",{"name":5,"class":6},1]