Can ChatGPT provide quality information about fever in children?
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Emine Ozdemir Kacer1, Funda Ipekten2
1Department of Pediatrics, Aksaray University, Faculty of Medicine, Aksaray, Turkey.
Insights
ChatGPT provides high-quality, reliable, and easy-to-understand answers to common children's fever questions. This artificial intelligence tool shows promise for improving pediatric health information accessibility.
Area of Science:
- Pediatric Health
- Artificial Intelligence in Medicine
- Health Informatics
Background:
- Artificial intelligence (AI) systems offer significant potential for advancing medical care and addressing health challenges.
- Fever is a prevalent health concern in children, necessitating reliable information for prediction and treatment.
Purpose of the Study:
- To evaluate the quality and readability of ChatGPT's responses to frequently asked questions regarding childhood fever.
- Assessing AI-driven health information for pediatric applications.
Main Methods:
- Identified the 50 most frequently asked questions about fever in children.
- Submitted these questions to ChatGPT and analyzed the responses using quality and readability assessment scales.
- Utilized scales including Gunning Fog (GFOG), Simple Measure of Gobbledygook (SMOG), and Patient Education Material Evaluation Tool (PEMAT).
Main Results:
- ChatGPT responses were found to be of good quality and demonstrated success on readability scales.
- A weak positive correlation was observed between Gunning Fog (GFOG) and Simple Measure of Gobbledygook (SMOG) scores (r=0.379).
- A significant positive relationship was found between Flesch-Kincaid Grade Level (FGL) and SMOG scores (r=0.899).
Conclusions:
- AI tools like ChatGPT can provide high-quality, reliable, and understandable information on common pediatric issues such as fever.
- The study highlights the potential of AI in presenting accessible and easy-to-read health information for parents and caregivers.
- ChatGPT's responses to frequently asked questions about fever in children were deemed high-quality and understandable.
Background:
Artificial intelligence (AI) systems hold great promise in improving medical care and health problems.
Aim:
We aimed to evaluate the answers by asking the most frequently asked questions to ChatGPT for the prediction and treatment of fever, which is a major problem in children.
Methods:
The 50 questions most frequently asked about fever in children were determined, and we asked them to ChatGPT. We evaluated the responses using the quality and readability scales.
Results:
While ChatGPT demonstrated good quality in its responses, the readability scale and the Patient Education Material Evaluation Tool (PEMAT) scale used with materials appearing on the site were also found to be successful. Among the scales in which we evaluated ChatGPT responses, a weak positive relationship was found between Gunning Fog (GFOG) and Simple Measure of Gobbledygook (SMOG) scores (r = 0.379) and a significant and positive relationship was found between FGL and SMOG scores (r = 0.899).
Conclusion:
This study sheds light on the quality and readability of information regarding the presentation of AI tools, such as ChatGPT, regarding fever, a common complaint in children. We determined that the answers to the most frequently asked questions about fire were high-quality, reliable, easy to read and understandable.
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