Evaluating the quality and empathy of responses to patient questions on the Korean Academy of Periodontology’s online question and answer section: a cross-sectional study comparing periodontists and an AI-powered chatbot

AI-powered chatbots can deliver more accurate and empathetic answers than human periodontists, suggesting their potential role as consultation assistants merits further investigation. The high intraclass correlation coefficient values (0.79-0.93) indicate a high level of agreement among evaluators in both the periodontist and lay evaluator groups, thus confirming the reliability and robustness of the study's assessment methodology.

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Publication Details

Journal
Journal of Periodontal & Implant Science
Published
2025-01-01
DOI
https://doi.org/10.5051/jpis.2402220111
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96

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article

Evaluating the quality and empathy of responses to patient questions on the Korean Academy of Periodontology’s online question and answer section: a cross-sectional study comparing periodontists and an AI-powered chatbot

Sohae Eve Oh, Akhilanand Chaurasia, Jae‐Hong Lee, Falk Schwendicke et al.
3 citations
Journal of Periodontal & Implant Science
Artificial Intelligence in Healthcare and Education
1.96
article

Evaluating the quality and empathy of responses to patient questions on the Korean Academy of Periodontology’s online question and answer section: a cross-sectional study comparing periodontists and an AI-powered chatbot

Sohae Eve Oh, Akhilanand Chaurasia, Jae‐Hong Lee, Falk Schwendicke, Young‐Taek Kim
article en
3 citations

Abstract

AI-powered chatbots can deliver more accurate and empathetic answers than human periodontists, suggesting their potential role as consultation assistants merits further investigation. The high intraclass correlation coefficient values (0.79-0.93) indicate a high level of agreement among evaluators in both the periodontist and lay evaluator groups, thus confirming the reliability and robustness of the study's assessment methodology.

Journal of Periodontal & Implant ScienceVol. 55(6)
King George's Medical University (IN), Jeonbuk National University Hospital (KR), National Health Insurance Service Ilsan Hospital (KR), National Health Insurance Service (KR), Jeonbuk National University (KR), Ludwig-Maximilians-Universität München (DE)
Ministry of Health and Welfare
Quality Education
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare and Education
1.96
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