ArticleCureus2025
Assessing the Suitability of ChatGPT and DeepSeekAI for Parent's Education on Common Pediatric Respiratory Diseases.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Analysis of Cough Factors and Quality of Life Score Among Children With Protracted Bacterial Bronchitis: Cross-Sectional Study.JMIR pediatrics and parenting · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Parental education on pediatric respiratory illnesses is essential to ensure timely care for children. With the increasing use of artificial intelligence (AI) in health communication, tools such as ChatGPT and DeepSeekAI offer potential for generating accessible and reliable educational material. Methodology A cross-sectional analysis was conducted using AI-generated educational content. Each response was assessed for word and sentence count, average words per sentence, syllables per word, readability (Flesch Reading Ease Score and Grade Level), similarity percentage (QuillBot), and reliability (modified Discern Score). Statistical analysis was performed using independent sample t-tests, with p<0.05 considered significant. Results DeepSeekAI responses were longer (mean word count: 422 vs. 333.75) and included more sentences. However, no statistically significant differences were found in any variable, including readability (Grade Level: 9.22 vs. 9.30; Ease Score: 41.17 vs. 40.97) and reliability (2.25 vs. 2.00). Similarity scores were also comparable between the two tools (36.02 vs 32.1). Conclusion Both ChatGPT and DeepSeekAI generated parent education materials of similar quality, readability, and reliability. The findings of this study suggest that either AI tools can be utilized for developing parental educational content for common pediatric respiratory conditions.
Indexed as
Identifiers
What OpenQuestion holds
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.