Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

<i>Eucrate liui</i> sp. nov. (Crustacea, Brachyura, Euryplacidae), a new crab species from the South China Sea, with the first record of <i>Eucrate tripunctata</i> in the region.

ZooKeys·2026
Same author

Clinical Problem Solving: A 35-Year-Old Pregnant Woman With Subacute Encephalopathy.

The Neurohospitalist·2026
Same author

Two Cases of Oculomotor Nerve Palsy in Idiopathic Intracranial Hypertension and a Literature Review.

Case reports in neurological medicine·2026
Same author

Synchronous gastric and appendiceal mucinous adenocarcinomas: a rare case report.

Frontiers in oncology·2026
Same author

Comprehensive Evaluation of ChatGPT's Diagnostic Accuracy on Image-based Ophthalmic Case Interpretations.

Ophthalmology science·2026
Same author

Multimodal Diagnostic Accuracy of GPT-4.o, Claude 3.7, and Gemini 2.5 on Real-World Retina Cases.

Journal of vitreoretinal diseases·2026

相关实验视频

Updated: Jul 12, 2025

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.4K

评估人工智能在眼科知识中的性能增长

Cheng Jiao1, Neel R Edupuganti1, Parth A Patel2

  • 1Ophthalmology, Augusta University Medical College of Georgia, Augusta, USA.

Cureus
|October 23, 2023
PubMed
概括

聊天生成预训练变压器 (ChatGPT) -4.0在眼科病例挑战中明显优于ChatGPT-3.5,表现出卓越的准确性,特别是在神经眼科和图像相关问题上. 这突显了先进的人工智能在眼科诊断和教育中的潜力.

关键词:
人工智能的人工智能是人工智能.聊天 聊天 聊天医学教育 医学教育自然语言处理模型眼科 眼科 眼科

更多相关视频

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

405
Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
07:11

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

1.5K

相关实验视频

Last Updated: Jul 12, 2025

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes
10:43

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

5.4K
Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

405
Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
07:11

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

1.5K

科学领域:

  • 眼科医生 眼科 眼科
  • 人工智能的人工智能
  • 医学诊断 医学诊断 医学诊断

背景情况:

  • 像ChatGPT这样的大型语言模型 (LLM) 在医学中越来越多地使用.
  • 评估不同LLM版本的诊断功能对于它们的应用至关重要.
  • 眼科病例的挑战需要对临床数据和图像进行准确的解释.

研究的目的:

  • 为了比较ChatGPT-3.5和ChatGPT-4.0在解决多选眼科病例挑战中的性能.
  • 分析眼科子专业的表现,问题难度和基于图像的问题.
  • 评估响应的简洁性和与专家人类响应的协调性.

主要方法:

  • 使用了美国眼科学会 (AAO) "诊断这个"的多选项眼科病例问题.
  • 我们比较了ChatGPT-3.5和ChatGPT-4.0的准确性.
  • 统计分析包括千二测试,费舍尔的精确测试,学生的t测试和ANOVA (p<0.05显著性).

主要成果:

  • 与ChatGPT-3.5相比,ChatGPT-4.0的准确性显著提高了 (75%),比ChatGPT-3.5 (46%,p<0.01).
  • 在神经眼科 (100%对38%,p=0.03) 和图像相关问题 (73%对46%,p=0.07) 中,ChatGPT-4.0显著改善.
  • 聊天GPT-4.0提供了更简洁的答案,更好地与AAO受访者的答案 (57.3%与41.4%相比,p<0.01).

结论:

  • 在眼科病例挑战中,ChatGPT-4.0显著优于ChatGPT-3.5.
  • 先进的AI模型显示了改善眼科诊断和医学教育的前景.
  • 对AI在专业医学领域的应用进行进一步的研究是有必要的.