Accuracy of laypeople, symptom checkers, and large language models with patient-generated case vignettes - Trial DRKS00032895
Access comprehensive clinical trial information for DRKS00032895 through Pure Global AI's free database. This phase not specified trial is sponsored by Fachgebiet Arbeitswissenschaft, Technische Universität Berlin10587 BerlinGermany and is currently Not yet recruiting. The study focuses on None ;Various diseases are shown in the form of case vignettes. No disease/health problem is examined directly..
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Study Focus
Sponsor & Location
Fachgebiet Arbeitswissenschaft, Technische Universität Berlin10587 BerlinGermany
Fachgebiet Arbeitswissenschaft, Technische Universität Berlin10587 BerlinGermany
Timeline & Enrollment
N/A
N/A
N/A
Summary
In this study, we will determine the accuracy and test-theoretic metrics of laypeople, symptom checkers, and large language models. In order to use more externally valid cases than previous case vignette-based studies, we use cases phrased by patients as they experience these symptoms. These descriptions are sampled from freely and publicly available "ask-the-doctor" platforms. In addition to accuracy, we will also determine how test-theoretic measures affect the selection of an appropriate vignette subset for laypeople, symptom checkers, and large language models and whether this subset differs between these three actors.
ICD-10 Classifications
Data Source
Deutsches Register Klinischer Studien
DRKS00032895
Non-Device Trial