Balancing Accuracy and Readability: Comparative Evaluation of AI Chatbots for Patient Education on Rotator Cuff Tears
Hybrid use of AI platforms-leveraging high-accuracy models alongside more readable outputs, with clinician oversight-may optimize patient education by ensuring both accuracy and accessibility. Future work should assess real-world comprehension and address the legal, ethical, and generalizability challenges of AI-driven patient education.
Authors
- Başar Burak Çakmur (ORCID: https://orcid.org/0000-0002-2720-1975)
- Ali Can Koluman (ORCID: https://orcid.org/0000-0002-0191-3229)
- Nezih Ziroğlu (ORCID: https://orcid.org/0000-0002-2595-9459)
- Mehmet Utku Çiftçi (ORCID: https://orcid.org/0000-0001-5594-4138)
- E. Çiftçi (ORCID: https://orcid.org/0000-0003-2459-5080)
Institutions
- Sivas State Hospital (TR)
- Istinye University (TR)
- Bakırköy Dr.Sadi Konuk Eğitim ve Araştırma Hastanesi (TR)
- Acıbadem University Atakent Hospital (TR)
- Kent Hastanesi (TR)
- Fatih Sultan Mehmet Eğitim Ve Araştırma Hastanesi (TR)
- Okan University (TR)
Publication Details
- Journal
- Healthcare
- Published
- 2025-10-23
- DOI
- https://doi.org/10.3390/healthcare13212670
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96