Official Title: Evaluating the Potential of Large Language Models for Respiratory Disease Consultations A Randomized Crossover Trial
Status: COMPLETED
Status Verified Date: 2024-06
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: EPLLMMRDC
Brief Summary: The clinical trial aimes to evaluate multiple large language models in respiratory disease consultations by comparing their performance to that of human doctors across three major medical consultation scenarios
The main question aims to answer are
How do large language models perform in comparison to human doctors in diagnosing and consulting on respiratory diseases across various clinical scenarios
In three clinical scenarios including the online query section the disease diagnosis section and the medical explanation section research assistants or volunteers will be asked to cross-question all LLMs or real doctors using predefined online questions and their own issues After each questioning session a short washout period is implemented to eliminate potential biases
Detailed Description: None
Study Oversight
Has Oversight DMC: None
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None
Secondary IDs
Secondary ID
Type
Domain
Link
22XQT0309
OTHER_GRANT
None
None
CBY22-QDA15
OTHER_GRANT
None
None
2022LC005
OTHER_GRANT
None
None
23JCYJPT0014
OTHER_GRANT
the scientific research project of the science and technology bureau of Nanchong