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

Health Literacy01:21

Health Literacy

5.2K
Health literacy is an individual's or a community's capacity to comprehend, receive, read, and use relevant healthcare information and services. The World Health Organization (WHO, 2018) defines health literacy as the cognitive and social skills that determine the ability of individuals to gain access to, understand, and use information in ways that promote and maintain good health. As a result, the WHO helps individuals manage long-term health concerns, participate in preventative...
5.2K
Purpose of Health Records I01:11

Purpose of Health Records I

1.7K
The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
1.7K
Concepts of Health and Illness01:29

Concepts of Health and Illness

16.9K
Health is a condition of the body, mind, and spirit where an individual remains free from illness. Similarly, wellness is an active state, including living a lifestyle that promotes physical, mental, and emotional health. Physical health is critical for the overall well-being and can be affected by lifestyle, activity level, diet, and behavior. The highest attainable standard of health is a fundamental and universal human right. Consider Lisa, a fifteen-year-old born with congenital...
16.9K
Patient-centered Care01:13

Patient-centered Care

2.8K
Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
2.8K
Classification of Illness01:17

Classification of Illness

8.5K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.5K
Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

1.3K
Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
1.3K

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

RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.

Proceedings of the conference. Association for Computational Linguistics. Meeting·2026
Same author

Contemporary Analysis of Diagnosis, Treatment, and Outcomes in Pisiform Fractures at a Level 1 Trauma Center.

Hand (New York, N.Y.)·2026
Same author

README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP.

Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing·2026
Same author

LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models.

Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing·2026
Same author

Comprehensive Overview of Computational Tools for Alternative Splicing Analysis.

Wiley interdisciplinary reviews. RNA·2025
Same author

Impaired Perfusion and Early Ischemic Stroke Recurrence in Symptomatic Intracranial Atherosclerosis: BIORISK ICAS Study.

Stroke·2025
Same journal

VideoPASTA: 7K Preference Pairs That Matter for Video-LLM Alignment.

Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing·2026
Same journal

Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text.

Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing·2026
Same journal

X-CoT: Explainable Text-to-Video Retrieval via LLM-based Chain-of-Thought Reasoning.

Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing·2026
Same journal

DischargeSim: A Simulation Benchmark for Educational Doctor-Patient Communication at Discharge.

Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing·2026
Same journal

From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations.

Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing·2026
Same journal

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers.

Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing·2026
查看所有相关文章

相关实验视频

Updated: Jan 8, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.9K

聊天机器人帮助患者了解他们的健康状况

Won Seok Jang1,2, Hieu Tran1,3, Manav Mistry1

  • 1Center for Healthcare Organization and Implementation Research, VA Bedford Health Care.

Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing
|December 22, 2025
PubMed
概括
此摘要是机器生成的。

NoteAid-Chatbot是一种对话式人工智能,使用一种没有人类数据的新型学习框架来增强患者的理解. 这种人工智能显示出新兴的教育行为,在模拟场景中超越非专家人类.

更多相关视频

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.0K
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.3K

相关实验视频

Last Updated: Jan 8, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.9K
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

8.0K
A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
04:19

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

Published on: May 10, 2022

4.3K

科学领域:

  • 人工智能的人工智能
  • 医疗信息学 医疗信息学
  • 自然语言处理自然语言处理.

背景情况:

  • 患者参与对于有效的医疗保健至关重要.
  • 当前的人工智能工具往往缺乏患者教育所需的细微沟通.
  • 在训练有素的人工智能系统中存在一个差距,即在没有广泛的人类标记数据的情况下,训练有素的AI系统可以理解患者.

研究的目的:

  • 介绍NoteAid-Chatbot,一种旨在改善患者理解的对话性AI.
  • 通过使用大型语言模型 (LLM) 和强化学习 (RL) 来展示一种新的"学习作为对话"框架.
  • 为了验证聊天机器人在模拟医疗保健场景中促进患者理解的有效性.

主要方法:

  • 使用轻量级的3B参数LLaMA 3.2模型开发了NoteAid-Chatbot.
  • 采用了两阶段的培训过程:对合成医疗对话和使用患者理解评估的RL进行监督微调.
  • 使用基于近接政策优化 (PPO) 的奖励建模来培训没有人类标记的数据.

主要成果:

  • NoteAid-Chatbot展示了清晰度,相关性和结构化对话等新兴行为.
  • 人工智能成功地处理了多轮互动,并结合了各种教育策略.
  • 图灵测试表明NoteAid-Chatbot在模拟患者教育中表现优于非专家人类.

结论:

  • 低成本,基于PPO的RL可以有效地训练特定领域的聊天机器人来完成复杂的对话任务.
  • "学习作为对话"框架显示出对现实的,开放式对话应用的希望.
  • NoteAid-Chatbot的成功扩大了基于RL的调整方法在医疗保健之外的适用性.