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Alaa Al-Haddad's proof-of-concept study provides a dataset of 160 AI-generated responses to 80 patient prompts across four cosmetic dentistry domains. The dataset, last updated in 2026, includes comparative evaluations of two large language models using a 20-point rubric assessing readability, practicality, empathy, structure, and safety. The data supports the feasibility of a multi-metric framework for evaluating patient-facing AI communication.
The primary data format is a PDF report; access to the raw evaluation data or prompt-response pairs may require extraction.