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Selin Gaş

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Open access Aug 2026

A multidisciplinary evaluation of AI-powered chatbots on apical root-end resection: assessing alignment with international endodontic guidelines-a comparative methodological study

Aims: This study aimed to identify the clinically relevant patient questions about apical root-end resection based on international consensus guidelines, and to systematically evaluate the accuracy, quality, usefulness, and readability of generated responses by four Artificial Intelligence (AI)-powered conversational a...

T. Paksoy, Selin Gaş, Seval Ceylan Şen et al. · 0 citations
Sep 2026

Guideline-Based Evaluation of Five Generative Artificial Intelligence Chatbot Platforms for Clinician-Oriented Questions on Open Temporomandibular Joint Surgery.

The findings describe informational quality, not clinical safety or decision-making, and support specialist verification before clinical use, and support specialist verification before clinical use.

Selin Gaş, Erdinç Sulukan, Büşra Korkmaz · 0 citations

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