ArticleCureus2023
How Efficient Is ChatGPT in Accessing Accurate and Quality Health-Related Information?
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed.
- An expert-based assessment of the quality, reliability, understandability, and readability of ChatGPT responses on cerebral palsy.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026Article
- Assessing Quality, Readability, and Transparency of Online and AI-Generated Information on Type 2 Diabetes Mellitus: Cross-Sectional Exploratory Study.JMIR diabetes · 2026Article
- Information quality, readability, and empathy of AI-generated public mental health information: a comparative evaluation of eight large language models.Frontiers in public health · 2026Article
- Article
- HIV Prevention and Treatment Information from Four Artificial Intelligence Platforms: A Thematic Analysis.AIDS and behavior · 2025Article
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- Evaluation of ChatGPT Responses About Sexual Activity After Total Hip Arthroplasty: A Comparative Study with Observers of Different Experience Levels.Journal of clinical medicine · 2025Article
- Assessing the quality of ChatGPT's responses to commonly asked questions about trigger finger treatment.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2025Article
- GPT-4 as a Source of Patient Information for Anterior Cervical Discectomy and Fusion: A Comparative Analysis Against Google Web Search.Global spine journal · 2024Review
- eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.Sensors (Basel, Switzerland) · 2024Article
- Readability and Information Quality in Cancer Information From a Free vs Paid Chatbot.JAMA network open · 2024Article
- Article
- Article
- AI in Hand Surgery: Assessing Large Language Models in the Classification and Management of Hand Injuries.Journal of clinical medicine · 2024Article
- Does the Information Quality of ChatGPT Meet the Requirements of Orthopedics and Trauma Surgery?Cureus · 2024Article
- The Performance of ChatGPT on the American Society for Surgery of the Hand Self-Assessment Examination.Cureus · 2024Article
- The Potential of ChatGPT for High-Quality Information in Patient Education for Sports Surgery.Cureus · 2024Article
- Readability and Quality of Online Patient Education Materials Concerning Posterior Cruciate Ligament Reconstruction.Cureus · 2024Article
- Article
- Evaluating ChatGPT-4's performance as a digital health advisor for otosclerosis surgery.Frontiers in surgery · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and objective The field of artificial intelligence (AI) is advancing at a rapid pace, impacting all aspects of human life. Chat Generative Pre-trained Transformer (ChatGPT), which represents one of AI's most recent and remarkable achievements, has garnered significant attention and popularity in the academic community. ChatGPT, a language model-based chatbot developed by OpenAI, responds quickly and provides answers to the questions put to it. This chatbot has the ability to gather content from a variety of sources on the internet. However, its success in providing correct information has not yet been comprehensively analyzed. In light of this, this study aimed to engage in a comparative content analysis of health-related information provided by ChatGPT and a few selected websites. Methods We performed a qualitative analysis of data obtained from various information sources by using the DISCERN score and the Journal of the American Medical Association (JAMA) benchmark criteria. In addition, readability levels of the content were measured by using the Flesch-Kincaid grade level, Gunning Fog Index, and Simple Measure of Gobbledygook (SMOG) index. Results Based on our findings, there was no statistically significant difference between the websites and ChatGPT in DISCERN scores. However, the JAMA score was statistically significantly higher for websites. With regard to the Flesch-Kincaid grade level, Gunning Fog Index, and SMOG index values, the data obtained from the websites had higher readability. Conclusion Although AI is starting to play a significant role in our everyday lives, it has yet to surpass traditional methods of accessing information in terms of readability and reliability.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.