Evaluation of Quality of AI Chatbots in Patient Education Guidelines on Dental Implant Maintenance

Introduction: The use of Artificial intelligence (AI) chatbots in medical science has been ever increasing. Patients rely on the information provided by these chatbots. The assessment of these chatbots is of absolute necessity for the detection of accuracy of their responses. The patient education guidelines have to be clear and useful in a structured and understandable sentence pattern, along with proper referencing. Methods: Patient education guideline on dental implant was generated. Two investigators scored the chatbots based on Quality Analysis of Medical Artificial Intelligence (QAMAI) scores of two chatbots: Chat GPT and Claude. The dimensions detected were accuracy, clarity, relevance, completeness, references and usefulness. Statistical analysis were carried out by unpaired t test. Results: The QAMAI scores for both Chat GPT and Claude were good. There were no statistically different differences among the QAMAI score of the two chatbots. (p=0.73) Conclusion: The patient education guide provided by Chat GPT and Claude are satisfactory. There is, however, room for improvement in increasing the quality of the AI chatbots.

Authors

Institutions

Publication Details

Journal
Journal of Nepalese Prosthodontic Society
Published
2025-09-12
DOI
https://doi.org/10.3126/jnprossoc.v8i1.84260
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Quality of AI Chatbots in Patient Education Guidelines on Dental Implant Maintenance

Amar Bhochhibhoya, Sahara Shrestha, Rejina Shrestha
Journal of Nepalese Prosthodontic Society
Artificial Intelligence in Healthcare and Education
article

Evaluation of Quality of AI Chatbots in Patient Education Guidelines on Dental Implant Maintenance

Amar Bhochhibhoya, Sahara Shrestha, Rejina Shrestha
article en

Abstract

Introduction: The use of Artificial intelligence (AI) chatbots in medical science has been ever increasing. Patients rely on the information provided by these chatbots. The assessment of these chatbots is of absolute necessity for the detection of accuracy of their responses. The patient education guidelines have to be clear and useful in a structured and understandable sentence pattern, along with proper referencing. Methods: Patient education guideline on dental implant was generated. Two investigators scored the chatbots based on Quality Analysis of Medical Artificial Intelligence (QAMAI) scores of two chatbots: Chat GPT and Claude. The dimensions detected were accuracy, clarity, relevance, completeness, references and usefulness. Statistical analysis were carried out by unpaired t test. Results: The QAMAI scores for both Chat GPT and Claude were good. There were no statistically different differences among the QAMAI score of the two chatbots. (p=0.73) Conclusion: The patient education guide provided by Chat GPT and Claude are satisfactory. There is, however, room for improvement in increasing the quality of the AI chatbots.

Journal of Nepalese Prosthodontic SocietyVol. 8(1)
National Institute of Ayurveda (IN), Kanti Children's Hospital (NP), Tribhuvan University Teaching Hospital (NP)
Openalex Percentile: Top 80%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evaluation of Quality of AI Chatbots in Patient Education Guidelines on Dental Implant Maintenance — Amar Bhochhibhoya, Sahara Shrestha, et al. · Journal of Nepalese Prosthodontic Society (2025) | TGRS Research Map | TGRS