Transforming Dental Diagnostics with Artificial Intelligence: Advanced Integration of ChatGPT and Large Language Models for Patient Care

• URL: http://arxiv.org/abs/2406.06616v1
• Date: Fri, 7 Jun 2024 06:44:09 GMT
• Title: Transforming Dental Diagnostics with Artificial Intelligence: Advanced Integration of ChatGPT and Large Language Models for Patient Care
• Authors: Masoumeh Farhadi Nia, Mohsen Ahmadi, Elyas Irankhah,
• Abstract summary: This study delves into the impact of cutting-edge Large Language Models (LLMs) on medical diagnostics, with a keen focus on the dental sector. The advent of ChatGPT-4 is poised to make substantial inroads into dental practices, especially in the realm of oral surgery. It critically assesses the broad implications and challenges within various sectors, including academia and healthcare.
• Score: 0.196629787330046
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: Artificial intelligence has dramatically reshaped our interaction with digital technologies, ushering in an era where advancements in AI algorithms and Large Language Models (LLMs) have natural language processing (NLP) systems like ChatGPT. This study delves into the impact of cutting-edge LLMs, notably OpenAI's ChatGPT, on medical diagnostics, with a keen focus on the dental sector. Leveraging publicly accessible datasets, these models augment the diagnostic capabilities of medical professionals, streamline communication between patients and healthcare providers, and enhance the efficiency of clinical procedures. The advent of ChatGPT-4 is poised to make substantial inroads into dental practices, especially in the realm of oral surgery. This paper sheds light on the current landscape and explores potential future research directions in the burgeoning field of LLMs, offering valuable insights for both practitioners and developers. Furthermore, it critically assesses the broad implications and challenges within various sectors, including academia and healthcare, thus mapping out an overview of AI's role in transforming dental diagnostics for enhanced patient care.

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