mlsanityData to 7 Oct 2026

ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model

arXiv 2304.03086 ↗First posted 23 Mar 2023cs.CL cs.AIcited by 40

On the map: Multimodal LLMs / vision-language models → Medical vision-language models

Abstract (arXiv)

The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with billions of parameters. LLMs have stirred up much interest among researchers and practitioners in their impressive skills in natural language processing tasks, which profoundly impact various fields. This paper mainly discusses the future applications of LLMs in dentistry. We introduce two primary LLM deployment methods in dentistry, including automated dental diagnosis and cross-modal dental diagnosis, and examine their potential applications. Especially, equipped with a cross-modal encoder, a single LLM can manage multi-source data and conduct advanced natural language reasoning to perform complex clinical operations. We also present cases to demonstrate the potential of a fully automatic Multi-Modal LLM AI system for dentistry clinical application. While LLMs offer significant potential benefits, the challenges, such as data privacy, data quality, and model bias, need further study. Overall, LLMs have the potential to revolutionize dental diagnosis and treatment, which indicates a promising avenue for clinical application and research in dentistry.

Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). Placed in Medical vision-language models, one of 16 directions in Multimodal LLMs / vision-language models. Builds on 37 of its 111 references that are in the map. First posted on arXiv 23 Mar 2023.

Builds on

37 of 111 references.

Closest ancestors · 1

Same direction, newest first

  1. 2023Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model27 Feb

Other references · 36

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24 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 11; 2024: 17; 2025: 6; 2026: 6.

40 papers.

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  1. 2023A Survey of Large Language Models in Medicine: Progress, Application, and Challengecited by 123
  2. 2024Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Surveycited by 52
  3. 2024Large Language Models for Medicine: A Surveycited by 38
  4. 2023Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environmentcited by 37
  5. 2024Generative AI for Synthetic Data Generation: Methods, Challenges and the Futurecited by 31
  6. 2023Model-as-a-Service (MaaS): A Surveycited by 24
  7. 2024TWIN-GPT: Digital Twins for Clinical Trials via Large Language Modelcited by 24
  8. 2023Weakly Supervised Detection of Hallucinations in LLM Activationscited by 20
  9. 2024ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Frameworkcited by 20
  10. 2024Green AI: Exploring Carbon Footprints, Mitigation Strategies, and Trade Offs in Large Language Model Trainingcited by 15
  11. 2024From MOOC to MAIC: Reshaping Online Teaching and Learning through LLM-driven Agentscited by 15
  12. 2025DentVLM: A Multimodal Vision-Language Model for Comprehensive Dental Diagnosis and Enhanced Clinical Practicecited by 13
28 more
  1. 2024How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problemscited by 12
  2. 2023Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundariescited by 10
  3. 2024Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysiscited by 9
  4. 2023Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Reviewcited by 8
  5. 2024From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practicecited by 8
  6. 2023A Critical Review of Large Language Models: Sensitivity, Bias, and the Path Toward Specialized AIcited by 6
  7. 2023Testing learning-enabled cyber-physical systems with Large-Language Models: A Formal Approachcited by 5
  8. 2024Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Datacited by 5
  9. 2024Transforming Dental Diagnostics with Artificial Intelligence: Advanced Integration of ChatGPT and Large Language Models for Patient Carecited by 5
  10. 2025Video-QTR: Query-Driven Temporal Reasoning Framework for Lightweight Video Understandingcited by 4
  11. 2026OralGPT-Plus: Learning to Use Visual Tools via Reinforcement Learning for Panoramic X-ray Analysiscited by 4
  12. 2023Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Modelcited by 3
  13. 2024Exploring ChatGPT for Next-generation Information Retrieval: Opportunities and Challengescited by 2
  14. 2024FastRM: An efficient and automatic explainability framework for multimodal generative modelscited by 2
  15. 2025Investigating Vision-Language Model for Point Cloud-based Vehicle Classificationcited by 2
  16. 2023The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-sectional Survey Analysiscited by 1
  17. 2024Dental Severity Assessment through Few-shot Learning and SBERT Fine-tuningcited by 1
  18. 2025Advances in Large Language Models for Medicinecited by 1
  19. 2023Enhancing Subtask Performance of Multi-modal Large Language Modelcited by 0
  20. 2024Leveraging Few-Shot Learning and Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literaturecited by 0
  21. 2024Generative artificial intelligence in dentistry: Current approaches and future challengescited by 0
  22. 2025SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimescited by 0
  23. 2025Enhanced Motion Forecasting with Plug-and-Play Multimodal Large Language Modelscited by 0
  24. 2026Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extractioncited by 0
  25. 2026Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Tokencited by 0
  26. 2026DOCSCHISEL: Adaptive Tool Documentation Optimization Framework for LLM Agentscited by 0
  27. 2026DentAgent: Evidence-Centric Multi-Agent Coordination for Multimodal Dental Reasoningcited by 0
  28. 2026M2G-LLM: Enhancing Clinical Prediction via Multimodal Graph Reasoning and LLM Context Injectioncited by 0

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  1. 2025OralGPT-Omni: A Versatile Dental Multimodal Large Language Model
  2. 2025DeepSeek performs better than other Large Language Models in Dental Cases
  3. 2025DentalBench: Benchmarking and Advancing LLMs Capability for Bilingual Dentistry Understanding
  4. 2025DentalGPT: Incentivizing Multimodal Complex Reasoning in Dentistry
  5. 2024A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
  6. 2026GlobalDentBench: A Multinational Benchmark for Evaluating LLM Clinical Reasoning in Dentistry with Expert Calibration
  7. 2025A benchmark multimodal oro-dental dataset for large vision-language models
  8. 2026OralMLLM-Bench: Evaluating Cognitive Capabilities of Multimodal Large Language Models in Dental Practice