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相关概念视频

Obedience01:08

Obedience

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According to obedience research, we may harm others under the forceful pressures of an authority figure (Milgram, 1974). How about if the inappropriate orders were delivered with less force? The increasing interdependence between nurses and physicians compelled Hofling and his colleagues to explore nurses’ reactions to a potentially harmful medical request made by the perceived authority figure, the doctor (Hofling, Brotzman, Dalrymple, Graves, & Pierce, 1966). In this situation,...
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Self-Report Tests of Personality01:22

Self-Report Tests of Personality

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Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
262
Exercise Stress Test01:26

Exercise Stress Test

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Introduction
Exercise stress testing, commonly known as a treadmill test, is a noninvasive procedure used to evaluate cardiovascular function and diagnose heart conditions.
Definition
An exercise stress test measures the heart's response to exertion using a treadmill or stationary bicycle. Chest electrodes record the heart's electrical activity through an ECG, and blood pressure is monitored regularly.
Purposes
123
Upper GI Series: Barium Swallow01:24

Upper GI Series: Barium Swallow

44
The Barium Swallow Study, or a Barium Esophagogram, is a diagnostic imaging method used to visualize the upper gastrointestinal (GI) tract, including the esophagus, stomach, and small intestine. It employs barium sulfate, a radiopaque contrast material, to provide clear images of the upper digestive system, helping to identify abnormalities, diseases, or structural issues.
Purpose and Procedure
Patients undergoing this procedure ingest a liquid containing barium sulfate with a chalky...
44
Peptic Ulcer Disease III: Clinical Manifestations and Diagnostic Studies01:28

Peptic Ulcer Disease III: Clinical Manifestations and Diagnostic Studies

62
Peptic ulcer disease (PUD) presents with diverse symptoms depending on the location and severity of the ulcer. Clinical manifestations of peptic ulcer include dull pain and a burning sensation in the mid-epigastric region.
Few clinical manifestations differentiate gastric ulcers from duodenal ulcers. Distinctions in the location, timing, and pain relief are crucial for healthcare providers in differentiating between gastric and duodenal ulcers during clinical assessments.
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Endoscopic Procedures I: Esophagogastroduodenoscopy01:29

Endoscopic Procedures I: Esophagogastroduodenoscopy

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An Esophagogastroduodenoscopy (EGD) is a diagnostic procedure in which an endoscopist uses a flexible, lighted endoscope to visualize the upper gastrointestinal (GI) tract. The procedure includes visualizing the oropharynx, esophagus, stomach, and the first part of the small intestine, the duodenum.
During an EGD, the endoscope can be used to:
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Updated: May 7, 2025

E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
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医生现在会对你进行测谎仪.

James Anibal1,2, Jasmine Gunkel3, Shaheen Awan4

  • 1Center for Interventional Oncology, Clinical Center, National Institutes of Health (NIH), Bethesda, MD USA.

Npj health systems
|January 6, 2025
PubMed
概括
此摘要是机器生成的。

用于预测社会行为的人工智能 (AI) 引发了关于患者数据隐私和对患者与提供者关系的信任的伦理问题. 人工智能系统可能会表现出偏见,可能会损害患者和医疗保健完整性.

关键词:
伦理学 伦理学 伦理学机器学习是机器学习.科学,技术和社会 科学,技术和社会

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科学领域:

  • 医学伦理 医学伦理
  • 医疗保健中的人工智能
  • 临床信息学 临床信息学

背景情况:

  • 人工智能方法越来越多地被提出用于从患者数据中预测社会行为.
  • 该应用程序引入了与患者隐私,数据控制和尊重相关的新伦理挑战.
  • 用于社会行为验证的临床人工智能提出了独特的伦理考虑.

研究的目的:

  • 识别和分类与人工智能系统相关的伦理问题,用于在临床环境中验证社会行为.
  • 分析AI不准确性,偏见和"AI自信"对患者与提供者关系的潜在影响.
  • 为减轻人工智能验证方法在医疗保健中的风险提出建议.

主要方法:

  • 在临床社会行为预测中,围绕人工智能的伦理问题进行审查.
  • 模拟了基于语音样本的AI验证系统的滥用情况.
  • 分析潜在的大型语言模型 (LLM) 偏差,偏好多维数据而不是患者报告的信息.

主要成果:

  • 伦理问题分为两个类别:系统的不准确性/偏见以及对患者提供者信任的影响.
  • 模拟的滥用揭示了对患者报告信息的潜在LLM偏见,有利于其他AI输出 ("AI自信").
  • 人工智能验证方法有可能破坏患者的信任和医疗保健系统的完整性.

结论:

  • 人工智能用于社会行为预测需要仔细的伦理考虑.
  • 缓解策略对于预防对患者的伤害和维护医疗保健系统的完整性至关重要.
  • 解决人工智能偏见及其对信任的影响对于负责任的实施至关重要.