[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"trial:NCT06699615":3,"trial-entities:NCT06699615":61,"trial-summary:NCT06699615":65},{"id":4,"nct_id":4,"org_study_id":5,"brief_title":6,"official_title":7,"overall_status":8,"completion_date":9,"status_verified_date":10,"last_update_date":11,"start_date":12,"sponsor_name":13,"lead_sponsor_class":14,"has_dmc":15,"brief_summary":16,"detailed_description":17,"conditions":18,"keywords":20,"study_type":21,"primary_purpose":14,"phases":22,"enrollment_info":24,"interventions":27,"primary_outcomes":32,"secondary_outcomes":37,"sex":38,"minimum_age":17,"maximum_age":17,"healthy_volunteers":15,"eligibility_criteria":39,"std_ages":43,"locations":47,"central_contacts":57,"overall_officials":58,"references":59,"see_also_links":60},"NCT06699615","29524","Assessing Perceptions of ML Explanations by Medical Oncologists","Survey of Medical Oncologists to Assess Trustworthiness of Various Approaches to AI Explainability for Prognostic Models","ENROLLING_BY_INVITATION","2028-04-15","2026-04","2026-04-06","2024-12-02","Abramson Cancer Center at Penn Medicine","OTHER",false,"The objective of this proposal is to conduct a vignette-based survey among practicing oncology clinicians who treat non-small cell lung cancer to assess the trustworthiness of explainable predictions from a neurosymbolic AI vs. State-of-the-art post-hoc explanatory algorithms, using simulated patient data.",null,[19],"Oncology",[],"INTERVENTIONAL",[23],"NA",{"count":25,"type":26},50,"ESTIMATED",[28],{"type":14,"name":29,"description":29,"armGroupLabels":30},"Once time de-identified Qualtrics survey",[31],"One time de-identified Qualtrics Survey",[33],{"measure":34,"description":35,"timeFrame":36},"Determine whether neurosymbolic AI explainability methods improve the trustworthiness of explanations from a prognostic model, relative to post-hoc explainers.","Oncologist will be invited to complete a vignette-based survey","3 months",[],"ALL",{"inclusion":40,"exclusion":41,"raw_text":42},[],[],"Inclusion Criteria \"Medical oncologist\" or \"Hematologist\u002FOncologist\" designation at Penn Treats lung cancer\n\nExclusion Criteria:\n\nNon-medical oncologists No email address or physical address listed Does not treat lung cancer",[44,45,46],"CHILD","ADULT","OLDER_ADULT",[48],{"facility":49,"city":50,"state":51,"zip":52,"country":53,"geoPoint":54},"University of Pennsylvania","Philadelphia","Pennsylvania","19083","United States",{"lat":55,"lon":56},39.95238,-75.16362,[],[],[],[],{"nct_id":4,"conditions":62,"biomarkers":64},[63],"Lung Non-Small Cell Carcinoma",[],{"nct_id":4,"found":15,"summary":17,"prompt_version":17}]