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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Psychosurgery01:30

Psychosurgery

104
Psychosurgery, the surgical alteration or permanent removal of brain tissue to alleviate severe psychological conditions, stands as one of the most radical and controversial treatments in the history of mental health care. Its development and application have evolved significantly, marked by dramatic shifts in scientific understanding and ethical perspectives.
Historical Development of Psychosurgery
In the 1930s, Portuguese neurologist Antonio Egas Moniz introduced a surgical procedure designed...
104
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.3K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
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

Economic impact of disposable versus reusable instruments in minimally invasive surgery: a systematic review.

Surgical endoscopy·2026
Same author

Surgical Outcomes from Nationwide Implementation of the International Best-Practice for Locally Advanced Pancreatic Cancer (PREOPANC-4) study.

The British journal of surgery·2026
Same author

Impact of preoperative radiotherapy on the risk of postpancreatectomy haemorrhage and major morbidity after resection of pancreatic adenocarcinoma including arterial divestment or arterial resection.

BJS open·2026
Same author

Endoscopic Ultrasonography-Guided Gastroenterostomy Is More Cost Effective Than Surgical Gastrojejunostomy: A Health-Economic Evaluation Alongside a Randomized Trial.

United European gastroenterology journal·2026
Same author

Contemporary challenges in long-term survival prediction in resected pancreatic ductal adenocarcinoma: a transatlantic multicenter development and validation of prognostic models.

HPB : the official journal of the International Hepato Pancreato Biliary Association·2026
Same author

Towards responsible genome-wide screening: normative and stakeholder considerations.

European journal of human genetics : EJHG·2026

相关实验视频

Updated: Sep 9, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

221

基于人工智能的外科预测模型的伦理陷

Sara Ben Hmido1,2, Houssam Abder Rahim3, Boris Keller3

  • 1Department of Surgery, Amsterdam University Medical Centers, Amsterdam, the Netherlands.

World journal of surgery
|September 4, 2025
PubMed
概括
此摘要是机器生成的。

预测模型在手术中提供了显著的好处,但也带来了道德上的挑战. 谨慎开发和实施对于确保患者安全,公平和对手术人工智能的信任至关重要.

关键词:
没有.发生并发症伦理学机器学习预测情况利益相关者进行手术

更多相关视频

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

844

相关实验视频

Last Updated: Sep 9, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

221
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
07:46

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

Published on: August 9, 2024

844

科学领域:

  • 外科创新
  • 医学伦理
  • 医疗保健中的人工智能

背景情况:

  • 手术中的预测模型旨在通过预测并发症和个性化治疗来增强临床护理.
  • 尽管有潜在的好处,但将这些模型纳入实践带来了重大的伦理挑战.
  • 伦理问题涉及整个模型生命周期,从数据收集到临床应用,影响所有利益相关者.

研究的目的:

  • 识别和分析与外科预测模型相关的伦理挑战.
  • 探索数据偏差,隐私泄露和算法不透明等风险.
  • 提出应对策略和负责整合的道德框架.

主要方法:

  • 在整个预测模型生命周期中审查伦理考虑.
  • 风险分析包括数据集偏差,隐私侵犯和缺乏透明度.
  • 确定减轻风险的策略,如检测销售和持续审计.

主要成果:

  • 确定了关键风险:偏见的数据集,隐私侵犯,不透明的决策和潜在的外科医生失业.
  • 重要的缓解策略包括标准化数据收集,并行开发和审计.
  • 一个强调责任和以患者为中心的伦理框架至关重要.

结论:

  • 在手术中整合预测模型需要技术专长和道德警.
  • 未来临床医生的教育必须包括临床推理和道德意识.
  • 将人工智能发展与以人为中心的价值观结合起来,