Assessing the Accuracy and Completeness of AI-Generated Dental Responses: An Evaluation of the Chat-GPT Model

<b>Background:</b> The rapid advancement of artificial intelligence (AI) in healthcare has opened new opportunities, yet the clinical validation of AI tools in dentistry remains limited. <b>Objectives:</b> This study aimed to assess the performance of ChatGPT in generating accurate and complete responses to academic dental questions across multiple specialties, comparing the capabilities of GPT-4 and GPT-3.5 models. <b>Methodology:</b> A panel of academic specialists from eight dental specialties collaboratively developed 48 clinical questions, classified by consensus as easy, medium, or hard, and as requiring either binary (yes/no) or descriptive responses. Each question was sequentially entered into both GPT-4 and GPT-3.5 models, with instructions to provide guideline-based answers. The AI-generated responses were independently evaluated by the specialists for accuracy (6-point Likert scale) and completeness (3-point Likert scale). Descriptive and inferential statistics were applied, including Mann-Whitney U and Kruskal-Wallis tests, with significance set at <i>p</i> < 0.05. <b>Results:</b> GPT-4 consistently outperformed GPT-3.5 in both evaluation domains. The median accuracy score was 6.0 for GPT-4 and 5.0 for GPT-3.5 (<i>p</i> = 0.02), while the median completeness score was 3.0 for GPT-4 and 2.0 for GPT-3.5 (<i>p</i> < 0.001). GPT-4 demonstrated significantly higher overall accuracy (5.29 ± 1.1) and completeness (2.44 ± 0.71) compared to GPT-3.5 (4.5 ± 1.7 and 1.69 ± 0.62, respectively; <i>p</i> = 0.024 and <0.001). When stratified by specialty, notable improvements with GPT-4 were observed in Periodontology, Endodontics, Implantology, and Oral Surgery, particularly in completeness scores. <b>Conclusions:</b> In academic dental settings, GPT-4 provided more accurate and complete responses than GPT-3.5. Despite both models showing potential, their clinical application should remain supervised by human experts.

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Publication Details

Journal
Healthcare
Published
2025-08-28
DOI
https://doi.org/10.3390/healthcare13172144
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
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article

Assessing the Accuracy and Completeness of AI-Generated Dental Responses: An Evaluation of the Chat-GPT Model

Ahmad A. Othman, Mahir Mirah, Waqar Ali, Abdulwadood J. Sharqawi et al.
3 citations
Healthcare
Artificial Intelligence in Healthcare and Education
1.96
article

Assessing the Accuracy and Completeness of AI-Generated Dental Responses: An Evaluation of the Chat-GPT Model

Ahmad A. Othman, Mahir Mirah, Waqar Ali, Abdulwadood J. Sharqawi, Ahmed A. MohammedAziz, Amjad A. Alatiyyah
article en
3 citations

Abstract

<b>Background:</b> The rapid advancement of artificial intelligence (AI) in healthcare has opened new opportunities, yet the clinical validation of AI tools in dentistry remains limited. <b>Objectives:</b> This study aimed to assess the performance of ChatGPT in generating accurate and complete responses to academic dental questions across multiple specialties, comparing the capabilities of GPT-4 and GPT-3.5 models. <b>Methodology:</b> A panel of academic specialists from eight dental specialties collaboratively developed 48 clinical questions, classified by consensus as easy, medium, or hard, and as requiring either binary (yes/no) or descriptive responses. Each question was sequentially entered into both GPT-4 and GPT-3.5 models, with instructions to provide guideline-based answers. The AI-generated responses were independently evaluated by the specialists for accuracy (6-point Likert scale) and completeness (3-point Likert scale). Descriptive and inferential statistics were applied, including Mann-Whitney U and Kruskal-Wallis tests, with significance set at <i>p</i> < 0.05. <b>Results:</b> GPT-4 consistently outperformed GPT-3.5 in both evaluation domains. The median accuracy score was 6.0 for GPT-4 and 5.0 for GPT-3.5 (<i>p</i> = 0.02), while the median completeness score was 3.0 for GPT-4 and 2.0 for GPT-3.5 (<i>p</i> < 0.001). GPT-4 demonstrated significantly higher overall accuracy (5.29 ± 1.1) and completeness (2.44 ± 0.71) compared to GPT-3.5 (4.5 ± 1.7 and 1.69 ± 0.62, respectively; <i>p</i> = 0.024 and <0.001). When stratified by specialty, notable improvements with GPT-4 were observed in Periodontology, Endodontics, Implantology, and Oral Surgery, particularly in completeness scores. <b>Conclusions:</b> In academic dental settings, GPT-4 provided more accurate and complete responses than GPT-3.5. Despite both models showing potential, their clinical application should remain supervised by human experts.

HealthcareVol. 13(17)
Taibah University (SA)
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
1.96
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