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Utilizing Artificial Intelligence-Based Tools for Addressing Clinical Queries: ChatGPT Versus Google Gemini
The Journal of Nursing Education
|August 9, 2024
Summary
Artificial intelligence (AI) tools like ChatGPT and Google Gemini show inaccuracies in clinical information. Both AI chatbots demonstrated factual errors, questioning their reliability for medical queries.
Area of Science:
- Artificial Intelligence
- Clinical Informatics
- Medical AI
Background:
- AI text generators demonstrate word prediction and response capabilities.
- Clinical query performance of AI tools like ChatGPT and Google Gemini is not well-assessed.
- Comparative analysis of AI chatbot performance in clinical settings is needed.
Purpose of the Study:
- To assess the capabilities of ChatGPT and Google Gemini in addressing clinical questions.
- To compare the accuracy and reliability of AI-generated clinical information.
- To evaluate AI chatbot performance for medical inquiries.
Main Methods:
- Conducted separate interactions with ChatGPT and Google Gemini.
- Utilized the PICOT (patient, intervention, comparison, outcome, time) format for clinical questions.
- Performed thorough examination of full-text articles to ascertain AI-generated information accuracy.
Main Results:
- ChatGPT showed relative accuracy in bibliographic information but had inconsistencies in clinical content.
- Google Gemini generated entirely fabricated citations and summaries.
- Both AI tools exhibited factual inaccuracies in their responses.
Conclusions:
- AI-based tools like ChatGPT and Google Gemini demonstrate factual inaccuracies despite appearing credible.
- Substantial concerns exist regarding the reliability of AI chatbots as sources for clinical information.
- Further evaluation is required to ensure the safe and effective use of AI in healthcare.
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