Comment on ‘<scp>ChatGPT</scp>‐4 as auxiliary tool in the temporomandibular disorders diagnostic: An opinion’

Abstract

Dear Editor, I recently had the pleasure of reading the interesting article by Freitas and colleagues entitled ‘ChatGPT-4 as an auxiliary tool in temporomandibular disorders diagnostics: An opinion’,1 and I wish to contribute my reflections on this topic. While acknowledging the authors' efforts to explore the potential of ChatGPT-4 as a tool to aid in the diagnosis of temporomandibular joint disorders (TMD),1 the incorporation of such a tool into daily clinical practice warrants thorough and thoughtful analysis. While it is undeniable that artificial intelligence (AI) has become a pivotal component in various healthcare realms,2, 3 it is vital to understand that its implementation as a diagnostic tool cannot be undertaken without duly considering its limitations and ethical implications.4 While the authors argue that ChatGPT-4 may enhance diagnostic accuracy,1 it is crucial to recognize that this tool does not replace the need for human supervision and judgement. The authors mention a study conducted by Russe and colleagues,5 which addresses the comparison between the performance of ChatGPT and that of human radiologists in classifying fractures based on radiological reports. This study is relevant for providing a comparative analysis between ChatGPT's capability and the expertise of radiology professionals in accurately identifying fractures from radiological data.5 However, even though the tool achieved a reported accuracy of 86%, this number still falls short of the 95% attained by human radiologists.5 This 9% difference in accuracy is substantial and underscores the crucial importance of human interpretation in diagnostic accuracy. While technological advancements have shown considerable improvements in diagnostic accuracy,6 it is essential to emphasize that human interpretation goes beyond mere pattern recognition in images. Radiologists, when examining images, apply their clinical knowledge, consider the patient's history, and evaluate case nuances for a precise and comprehensive diagnosis. The ability to contextualize information beyond what is presented in images is a vital aspect that even the most advanced AI cannot fully replicate, potentially representing a significant gap in accurate diagnosis,5, 6 especially in a complex field like TMD, where precision is fundamental for appropriate treatment. Therefore, while acknowledging the advancements and potential contributions of ChatGPT-4 as a complementary tool in medical diagnosis, it is imperative to highlight that human supervision and clinical judgement remain irreplaceable.4, 7 Accuracy, contextualization, and understanding of the complete clinical picture are critical elements that only human healthcare professionals can offer, thereby ensuring the quality and safety of patient care. Furthermore, excessive and indiscriminate use of ChatGPT raises significant ethical concerns. Who would be responsible in instances of diagnostic errors: the technology itself or the professionals utilizing it?7 Additionally, there is a growing concern regarding the contemporary generation, increasingly dependent on these advanced tools, neglecting the pursuit of information from traditional sources and disregarding the enhancement of fundamental analytical skills.4 This excessive reliance on automated tools may undermine healthcare professionals' ability to consider an extensive range of clinical and contextual data, crucial elements for accurate diagnosis and effective therapeutic intervention. This issue raises concerns about the education of healthcare professionals who become overly reliant on these technologies, at the expense of valuing clinical knowledge and human reasoning abilities, indispensable elements in medical practice.4 In summary, while recognizing the potential benefits of ChatGPT-4 in interpreting radiological images, I strongly emphasize the need for rigorous ethical scrutiny, comprehensive clinical validation, and in-depth studies to assess its safety and efficacy before its widespread implementation in clinical practice. The integration of AI technologies in clinical practice must be accompanied by clear ethical guidelines, extensive training, and careful supervision to ensure the integrity and quality of healthcare provided to patients. The integration of AI in medicine should be approached cautiously and thoughtfully to ensure that the benefits outweigh the risks and that the quality and safety of patient care remain paramount. No conflicts of interest were declared concerning the publication of this article.

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