Evaluating the Potential of Large Language Models for Respiratory Disease Consultations

Brief summary (registry, in English)

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.

What you commit to

• Study type: Interventional
• Participants enrolled: 703
• From 1 Oct 2023 to the primary completion date, 12 Dec 2023
• 1 site in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

Sites in registry order. Pick your city on the disease page to sort them by distance.