Artificial intelligence solutions for temporomandibular joint disorders: Contributions and future potential of ChatGPT.

ABSTRACT:

Objective

This study aimed to evaluate the reliability and usefulness of information generated by Chat Generative Pre-Trained Transformer (ChatGPT) on temporomandibular joint disorders (TMD).

Methods

We asked ChatGPT about the diseases specified in the TMD classification and scored the responses using Likert reliability and usefulness scales, the modified DISCERN (mDISCERN) scale, and the Global Quality Scale (GQS).

Results

The highest Likert scores for both reliability and usefulness were for masticatory muscle disorders (mean ± standard deviation [SD]: 6.0 ± 0), and the lowest scores were for inflammatory disorders of the temporomandibular joint (mean ± SD: 4.3 ± 0.6 for reliability, 4.0 ± 0 for usefulness). The median Likert reliability score indicates that the res

SUBMITTER: Kula B 

PROVIDER: S-EPMC11922634 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature