临床实践中的机器学习:在实施后对人工智能工具的评估.
Hamed Akhlaghi1,2,3, Sam Freeman1,4, Cynthia Vari1
1Department of Emergency Medicine, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia.
Emergency medicine Australasia : EMA
|September 29, 2023
概括
一种新的人工智能 (AI) 算法用于从分拣笔记中预测入院情况,在急诊室 (ED) 显示了可接受的实时性能. 然而,在实施后,它的准确性下降了,这凸显了在医疗保健中需要持续的AI培训和评估的需要.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 临床信息学 临床信息学
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 越来越多地融入医疗保健.
- 在临床环境中评估人工智能的实时性能至关重要.
研究的目的:
- 在临床实施后,评估预测急诊部 (ED) 选笔记入院的新型AI算法的准确性.
- 这项研究是第一个在紧急情况下调查实时AI性能的研究.
主要方法:
- 人工智能算法被集成到墨尔本圣文森特医院的电子急诊患者管理系统中.
- 分析了从2021年1月1日至2022年8月17日期间的77,125次ED演示的数据.
- 评估了诊断准确度指标,包括灵敏度,特异性,PPV和NPV.
主要成果:
- 实时人工智能算法实现了整体准确率74%,灵敏度73.1%和特异性74.3%.
- 准确性因入院类型而异,精神病房的入院率最低 (34%),胃肠病 (84%) 和医疗 (80%) 的入院率最高.
- 积极的预测值为50%,负的预测值为88.7%.
结论:
- 与最初的评估相比,实时AI临床决策支持工具的准确性降低了.
- 虽然敏感性和特异性在ED的决策支持中是可以接受的,但需要持续的培训和评估.
- 持续监测对于确保一致的AI性能和预防医疗保健中不良结果至关重要.
更多相关视频
04:09Predicting 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
03:14Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
610
相关概念视频
01:29Issues And Trends In Healthcare Delivery System
5.7K
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...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
01:30Current Trends in Nursing II
1.2K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
1.2K