Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Sep 13, 2024
Date Accepted: Oct 31, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
The Vast Potential of ChatGPT in Pediatric Surgery
ABSTRACT
Artificial intelligence (AI) is rapidly advancing in medicine, particularly in surgery. Among these technologies, ChatGPT, developed by OpenAI, has shown great potential since its release, with GPT-4 introducing significant improvements in understanding and multimodal processing. This is especially relevant for pediatric surgery, which differs from adult surgery due to developmental, anatomical, and disease-specific factors in children. This article explores how ChatGPT can enhance pediatric surgery by improving surgical education through virtual simulations, optimizing preoperative planning by integrating medical records and imaging, and supporting postoperative care with real-time monitoring and personalized recovery plans. In regions with limited pediatric resources, ChatGPT also facilitates remote collaboration between hospitals. While ChatGPT holds vast potential, challenges such as biases in training data, lack of clinical intuition, and ethical concerns must be addressed. In conclusion, ChatGPT can serve as a valuable tool in pediatric surgery, aiding in diagnosis, treatment, and research, particularly in resource-limited settings.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.