Skip to content
DraconiticResearch
Search Sources API
182,549 studies31 sourcesUpdated 6 min ago
Peer-reviewedCC BYDiagnostics (Basel, Switzerland)

Quality, Readability, Understandability, and Actionability of AI Chatbots’ Responses to Dental Patient Questions: A Comparative Evaluation

Related

  1. Comparative evaluation of large language models for esophageal cancer patient education: quality, reliability, readability, understandability, and actionability.
    Ying Ying Hang, Rui Yuan, Man Lu +4
    Frontiers in medicinePeer-reviewedCC BYFull textEpidemiology & public healthEurope PMCPMC
  2. Quality and Readability of ChatGPT and Gemini Responses to Patient Questions About Systemic Isotretinoin: Comparative Evaluation Study.
    Elif Bal Avcı, Buğra Burç Dağtaş, Dilara İlhan Erdil +4
    JMIR dermatologyPeer-reviewedCC BYFull textEpidemiology & public healthEurope PMCPMC
  3. Comparative Evaluation of Large Language Model Interfaces in Third Molar Surgery Complication Scenarios: Response Quality, Clinical Content, Potential Clinical Risk, Readability, and Externally Observable Response Latency—A Cross-Sectional Comparative Benchmark Study
    Journal of clinical medicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  4. Quality, transparency, and readability of artificial intelligence chatbot responses to fibrous dysplasia-related searches: a cross-sectional comparative study
    Dawen Ying, Jinxi Hu, Qifang Zeng +3
    Frontiers in Public HealthPeer-reviewedCC BY 4.0Epidemiology & public healthCrossref
  5. Quality and readability of responses generated by popular large language models to frequently asked questions about menopause: A comparative study
    Çağlasu Sancaktar, Burak Çakmak
    Digital HealthPeer-reviewedCC BYFull textEpidemiology & public healthDOAJ
BibTeX
@article{anon2026quality,
  title = {{Quality, Readability, Understandability, and Actionability of AI Chatbots’ Responses to Dental Patient Questions: A Comparative Evaluation}},
  journal = {Diagnostics (Basel, Switzerland)},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13703409},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Quality, Readability, Understandability, and Actionability of AI Chatbots’ Responses to Dental Patient Questions: A Comparative Evaluation
PY  - 2026
DA  - 2026/10/01
JO  - Diagnostics (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13703409
SN  - 2075-4418
ER  -