Transforming Dental Diagnostics with Artificial Intelligence: Advanced Integration of ChatGPT and Large Language Models for Patient Care
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 12 of its 131 references that are in the map. First posted on arXiv 7 Jun 2024.
Builds on
12 of 131 references.
References · 12
- 2022Large Language Models Encode Clinical Knowledgecited by 1,830
- 2023Capabilities of GPT-4 on Medical Challenge Problemscited by 638
- 2023Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervisioncited by 318
- 2022Can large language models reason about medical questions?cited by 194
- 2023Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Healthcited by 118
- 2022ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reportscited by 101
- 2022Deep Learning Approaches on Image Captioning: A Reviewcited by 43
- 2023ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Modelcited by 40
- 2023Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potentialcited by 39
- 2023ChatGPT in the Age of Generative AI and Large Language Models: A Concise Surveycited by 10
- 2023The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Erniecited by 5
- 2023Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Recordscited by 2
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Citing papers per year: 2024: 1; 2025: 4.
5 papers.
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