Back to search

Article

Enhancing health literacy for people with cystic fibrosis (CF): Quality and readability of microbiology information generated by artificial intelligence (AI) platforms - A cross sectional infodemiology study

2026-04-28

Abstract excerpt

ntroduction:   Cystic fibrosis (CF) is the most common lethal autosomal recessive genetic condition that predominantly affects European populations.  Microbiology and infection plays a major role in the morbidity and mortality associated with this condition, largely dominated by environmental bacteria including Pseudomonas aeruginosa, Burkholderia cenocepacia, Stenotrophomonas maltophilia and Achromobacter xylosoo...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
3bef2dd4-12f2-571b-94d0-7fb3b691360d
DOI
10.1099/acmi.0.001225.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Enhancing health literacy for people with cystic fibrosis (CF): Quality and readability of microbiology information generated by artificial intelligence (AI) platforms - A cross sectional infodemiology studyDOI 10.1099/acmi.0.001225.v1
Assessing the suitability of ChatGPT and DeepSeekAI for parents' education on common paediatric respiratory diseasesSemantic proximity
Assessing the suitability of ChatGPT and DeepSeekAI for parents' education on common paediatric respiratory diseasesSemantic proximity
Quality and Readability of Artificial Intelligence Chatbot Responses to Patient Questions About Exocrine Pancreatic Insufficiency: A Comparative StudySemantic proximity
Quality, Reliability, and Readability of AI-Generated Breastfeeding Information: A Comparative Evaluation of Four Large Language ModelsSemantic proximity
Large Language Models as Ophthalmic Patient Educators: A Comparative Evaluation of Readability, Understandability, and ActionabilitySemantic proximity
Readability, Quality, Understandability, and Actionability of ChatGPT Generated GI Patient Education vs AGA Patient CenterSemantic proximity
ChatGPT 3.5 and 4.0: A Head to Head Comparison in Generating Pharyngitis Patient GuidesSemantic proximity
Can Artificial Intelligence Evaluate Online Health Information? A Comparative Assessment of Scabies-Related YouTube Videos Using Human Experts and ChatGPT-5Semantic proximity
Can AI answer my questions? Using Artificial Intelligence to help provide information for patients with a stomaSemantic proximity
Assessing the Quality of AI-Generated Health Information: A Comparative Study of Large Language Models in Patient Education on Dental VeneersSemantic proximity
Can Large Language Models Provide High-Quality Information for Patients with Multidrug-Resistant Organism Infections: A Multidimensional Comparative Analysis of DeepSeek-V3, ChatGPT-5.2, Gemini-3, and Grok-4Semantic proximity
Enhancing Patient Education With AI:A Readability Analysis of AI-Generated Versus American Academy of Ophthalmology Online Patient Education MaterialsSemantic proximity
Select a neighboring publication to make it the new centre.