Accuracy and empathy of AI-based conversational chatbots in response to temporomandibular dysfunction related queries
AI chatbots show promise in providing accurate information regarding TMDs, but their ability to convey empathy remains limited. The observed differences in accuracy and empathy among the three AI chatbots examined are based on a limited dataset and should therefore be interpreted with caution. Current AI chatbots represent an intermediate stage of development, demonstrating adequate technical proficiency while remaining constrained in addressing the humanistic dimensions of patient care. Although empathy detection models may inform future development, significant challenges in empathetic communication persist.
Authors
- Keyvan Moharamzadeh (ORCID: https://orcid.org/0000-0002-8842-4638)
- Jahanzeb Chaudhry (ORCID: https://orcid.org/0000-0001-9022-9631)
- Moosa Alhuwaitat
- Prasad Nalabothu (ORCID: https://orcid.org/0000-0003-2442-7618)
- Nader Nabil Fouad
- Tanmoy Bhattacharjee
- Hisham Mohammed
- Maryam Shehab
- Sabarinath Prasad
- Abdulrahman Tawfik
Institutions
- The University of Queensland (AU)
- Ajman University (AE)
- City University Ajman (AE)
- Mohammed Bin Rashid University of Medicine and Health Sciences (AE)
- Universitäres Zentrum für Zahnmedizin Basel (CH)
Publication Details
- Journal
- PEC Innovation
- Published
- 2026-02-24
- DOI
- https://doi.org/10.1016/j.pecinn.2026.100463
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00