Comparative Evaluation of ChatGPT-4o and Grok-3 on Cleft Lip and Palate and Presurgical Infant Orthopedics: A Multidisciplinary Assessment by Orthodontists, Pediatricians, and Plastic Surgeons

<b>Objective:</b> This study aimed to evaluate and compare the accuracy, clarity, and clinical applicability of 2 state-of-the-art large language models (LLMs), Chat Generative Pretrained Transformer (ChatGPT)-4o and Grok-3, in generating health information related to cleft lip and palate (CLP) and presurgical infant orthopedics (PSIO). To ensure a multidisciplinary perspective, experts from orthodontics, pediatrics, and plastic surgery independently evaluated the responses. <b>Methods:</b> Six structured questions addressing general and presurgical aspects of CLP were submitted to both ChatGPT-4o and Grok-3. Forty-five blinded specialists (15 from each specialty) assessed the 12 generated responses using 2 validated instruments: the DISCERN tool and the Global Quality Scale (GQS). We conducted interspecialty comparisons to explore variations in model evaluation. <b>Results:</b> We observed no statistically significant differences between ChatGPT-4o and Grok-3 in DISCERN or GQS scores (<i>P</i> > .05). However, pediatricians consistently assigned higher ratings than orthodontists and plastic surgeons in terms of reliability, clarity, and treatment-related content. Patient-directed questions received higher overall scores than those aimed at healthcare professionals. Grok-3 performed slightly better on questions about PSIO, whereas ChatGPT-4o provided more comprehensive and structured answers. <b>Conclusion:</b> Both LLMs demonstrated notable potential in producing readable, informative responses about CLP and PSIO. While they may aid in patient communication and support clinical education, professional oversight remains critical to ensure medical accuracy. The inclusion of Grok-3 in this orthodontic evaluation provides valuable insights and sets the stage for future research on artificial intelligence integration in interdisciplinary cleft care.

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Publication Details

Journal
The Cleft Palate-Craniofacial Journal
Published
2025-09-16
DOI
https://doi.org/10.1177/10556656251378591
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
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article

Comparative Evaluation of ChatGPT-4o and Grok-3 on Cleft Lip and Palate and Presurgical Infant Orthopedics: A Multidisciplinary Assessment by Orthodontists, Pediatricians, and Plastic Surgeons

Esra Ekizer, S. Serin Canpolat, Kevser Kurt Demirsoy, Süleyman Kutalmış Büyük et al.
2 citations
The Cleft Palate-Craniofacial Journal
Artificial Intelligence in Healthcare and Education
1.31
article

Comparative Evaluation of ChatGPT-4o and Grok-3 on Cleft Lip and Palate and Presurgical Infant Orthopedics: A Multidisciplinary Assessment by Orthodontists, Pediatricians, and Plastic Surgeons

Esra Ekizer, S. Serin Canpolat, Kevser Kurt Demirsoy, Süleyman Kutalmış Büyük, Ahmet Bilirer
article en
2 citations

Abstract

<b>Objective:</b> This study aimed to evaluate and compare the accuracy, clarity, and clinical applicability of 2 state-of-the-art large language models (LLMs), Chat Generative Pretrained Transformer (ChatGPT)-4o and Grok-3, in generating health information related to cleft lip and palate (CLP) and presurgical infant orthopedics (PSIO). To ensure a multidisciplinary perspective, experts from orthodontics, pediatrics, and plastic surgery independently evaluated the responses. <b>Methods:</b> Six structured questions addressing general and presurgical aspects of CLP were submitted to both ChatGPT-4o and Grok-3. Forty-five blinded specialists (15 from each specialty) assessed the 12 generated responses using 2 validated instruments: the DISCERN tool and the Global Quality Scale (GQS). We conducted interspecialty comparisons to explore variations in model evaluation. <b>Results:</b> We observed no statistically significant differences between ChatGPT-4o and Grok-3 in DISCERN or GQS scores (<i>P</i> > .05). However, pediatricians consistently assigned higher ratings than orthodontists and plastic surgeons in terms of reliability, clarity, and treatment-related content. Patient-directed questions received higher overall scores than those aimed at healthcare professionals. Grok-3 performed slightly better on questions about PSIO, whereas ChatGPT-4o provided more comprehensive and structured answers. <b>Conclusion:</b> Both LLMs demonstrated notable potential in producing readable, informative responses about CLP and PSIO. While they may aid in patient communication and support clinical education, professional oversight remains critical to ensure medical accuracy. The inclusion of Grok-3 in this orthodontic evaluation provides valuable insights and sets the stage for future research on artificial intelligence integration in interdisciplinary cleft care.

The Cleft Palate-Craniofacial Journal
Niğde Ömer Halisdemir Üniversitesi (TR), Turkish Society of Hematology (TR), Beytepe Asker Hastanesi (TR), Nevşehir Hacı Bektaş Veli University (TR), Ordu University (TR)
Openalex Percentile: Top 14%
Artificial Intelligence in Healthcare and Education
1.31
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