聊天GPT塑造牙科的未来:多模式大型语言模型的潜力
Hanyao Huang1, Ou Zheng2, Dongdong Wang3
1State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China. huanghanyao_cn@scu.edu.cn.
International journal of oral science
|July 28, 2023
概括
大型语言模型 (LLM) 显示出通过自动化和跨模式诊断来彻底改变牙科护理的前景. 需要进一步的研究来应对数据隐私和偏见等挑战,以实现成功的临床整合.
科学领域:
- 人工智能在牙科中的应用
- 自然语言处理 (NLP) 是一种自然语言处理.
- 机器学习应用 机器学习应用
背景情况:
- 大型语言模型 (LLM),如ChatGPT (GPT-4的变体),代表了人工智能的重大进步,具有数十亿个参数.
- 法律学在自然语言处理方面表现出了显著的能力,在各种研究和实践领域引起了相当大的兴趣.
- 在传统NLP任务之外的应用中,LLM的变革潜力正在越来越多地被探索.
研究的目的:
- 探索大型语言模型 (LLM) 在牙科领域的未来应用.
- 引入和检查在牙科环境中部署LLMs的两个主要方法:自动牙科诊断和跨模式牙科诊断.
- 介绍案例研究,说明一个完全自动化的多模式LLMAI系统的临床牙科的潜力.
主要方法:
- 引入两种LLM部署策略:自动牙科诊断和跨模式牙科诊断.
- 检查LLM能力,特别是那些配备跨模式编码器,用于管理多源数据和执行复杂的临床推理.
- 通过案例示例展示用于牙科应用的多模式LLM人工智能系统.
主要成果:
- 专业的LLM,特别是配备跨模式编码器时,可以处理各种数据类型,并执行临床任务的先进自然语言推理.
- 一个全自动的多模态LLM人工智能系统显示出牙科实践临床应用的潜力.
- 确定的挑战包括数据隐私,数据质量和模型偏差,需要进一步调查.
结论:
- 大型语言模型 (LLM) 具有显著改变牙科诊断和治疗计划的潜力.
- 整合LLM为牙科的临床应用和未来研究提供了有前途的方向.
- 解决伦理和技术挑战对于在牙科实践中成功和负责任地实施LLM至关重要.
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