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

Language and Cognition01:27

Language and Cognition

325
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
325
Modeling in Therapy01:26

Modeling in Therapy

49
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
49
Stereotype Content Model02:16

Stereotype Content Model

14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.0K
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

431
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
431
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

559
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
559
Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists01:30

Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists

98
Cognitive enhancers, also known as "smart drugs," are substances used to enhance memory, mental alertness, and concentration. These can be natural or synthetic and improve cognition in conditions like Alzheimer's disease (AD) and other neurodegenerative diseases. Some common examples include caffeine, amphetamines, methylphenidate, modafinil, arecoline, donepezil, vortioxetine, and piracetam. These enhancers work on the principle of synaptic plasticity and altered circuit function.
98

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

Escape room as a novel team-based activity during residency selection in anaesthesiology.

Indian journal of anaesthesia·2026
Same author

AI-induced never-skilling in medical education.

Nature medicine·2026
Same author

The detectability paradox: bilingual medical report generation with open-weight models and the limits of human oversight.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

How to meaningfully evaluate AI in clinical medicine.

Nature medicine·2026
Same author

SpNeigh: spatial neighborhood and differential expression analysis for high-resolution spatial transcriptomics.

NAR genomics and bioinformatics·2026
Same author

PRIMARY-AI: outcomes-based standards to safeguard primary care in the AI era.

Nature medicine·2026

相关实验视频

Updated: Jun 7, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

504

通过使用大型语言模型进行多代理对话来缓解临床决策中的认知偏差:模拟研究

Yuhe Ke1,2, Rui Yang1, Sui An Lie2

  • 1Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore, Singapore.

Journal of medical Internet research
|November 19, 2024
PubMed
概括
此摘要是机器生成的。

在多代理框架中的大型语言模型通过纠正认知偏差来提高诊断准确性. 这种人工智能方法在具有挑战性的医疗病例中表现优于人类诊断能力.

关键词:
在临床决策过程中.认知偏见是一种认知偏见.生成型的人工智能 (GAI)大型语言模型多个代理的多个代理.

更多相关视频

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K
Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
08:42

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems

Published on: May 5, 2015

12.0K

相关实验视频

Last Updated: Jun 7, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

504
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K
Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems
08:42

Assessment of Social Cognition in Non-human Primates Using a Network of Computerized Automated Learning Device ALDM Test Systems

Published on: May 5, 2015

12.0K

科学领域:

  • 人工智能在医学中的应用
  • 临床决策支持系统 临床决策支持系统
  • 认知偏差研究研究

背景情况:

  • 认知偏差经常导致诊断错误,并对患者的治疗结果产生负面影响.
  • 减轻临床决策中的这些偏见是医疗保健专业人员面临的重大挑战.

研究的目的:

  • 在多代理框架内研究大型语言模型 (LLM) 的潜力,以减少认知偏见.
  • 模拟使用多代理对话的临床决策,并评估与人类性能相比,诊断准确性的改进.

主要方法:

  • 利用GPT-4创建一个模拟临床团队动态的多代理框架.
  • 代理人被分配的角色包括诊断,魔鬼的倡导者,现场专家,讨论促进者和总结者.
  • 在16个病例报告中评估了各种药物配置的诊断准确性,这些病例报告涉及由于认知偏差导致的误诊.

主要成果:

  • 最初的诊断准确率为0%.
  • 经过讨论,最佳的多剂框架在前两种差异诊断中实现了76%的准确性.
  • 这种人工智能驱动的准确性明显高于人类评估者的准确性 (OR 3.49,P=.002).

结论:

  • 多因素框架有效地重新评估和纠正了诊断误解.
  • 在复杂的医疗场景中,LLM驱动的多代理对话有望提高诊断准确度.