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Large Language Model
Clinical trial pipeline · Data from ClinicalTrials.gov
See which Large Language Model trials may be worth asking aboutClinical trial pipeline · Data from ClinicalTrials.gov
See which Large Language Model trials may be worth asking aboutNorth America
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This retrospective diagnostic accuracy study evaluates the ability of two large language models (LLMs) - GPT-4o (gpt-4o-2024-11-20; OpenAI) and Claude 4.6 Sonne…
The overall aim of the study is to investigate the incidence of type 2 diabetes in individuals who have access to a digital intervention tool as compared with r…
This prospective observational diagnostic accuracy study evaluates whether large language models (LLMs) - GPT-4o (OpenAI, gpt-4o-2024-11-20) and Claude (Anthrop…
Patients increasingly consult artificial intelligence (AI) chatbots such as ChatGPT for health information before clinical visits, yet the impact of an actual o…
This study will evaluate whether Xuanwu-NeuroAid 2.0, a large language model for emergency neurology, can improve 30-day diagnostic quality in adults with acute…
This pre-registered, pragmatic, three-arm (1:1:1) patient-level randomized controlled trial with mixed-effects analysis at the encounter level tests two questio…
This study will evaluate whether three-minute six-dimensions education(3M-6D education) can improve the reliability of large language models as medical assistan…
The goal of this randomized controlled trial is to evaluate whether behavioral nudges can reduce automation bias, the uncritical acceptance of automated output,…