Hanson C W, Marshall B E
Department of Anesthesia, Center for Anesthesia Research, University of Pennsylvania Health System, Philadelphia, USA.
Crit Care Med. 2001 Feb;29(2):427-35. doi: 10.1097/00003246-200102000-00038.
To review the history and current applications of artificial intelligence in the intensive care unit.
The MEDLINE database, bibliographies of selected articles, and current texts on the subject.
The studies that were selected for review used artificial intelligence tools for a variety of intensive care applications, including direct patient care and retrospective database analysis.
All literature relevant to the topic was reviewed.
Although some of the earliest artificial intelligence (AI) applications were medically oriented, AI has not been widely accepted in medicine. Despite this, patient demographic, clinical, and billing data are increasingly available in an electronic format and therefore susceptible to analysis by intelligent software. Individual AI tools are specifically suited to different tasks, such as waveform analysis or device control.
The intensive care environment is particularly suited to the implementation of AI tools because of the wealth of available data and the inherent opportunities for increased efficiency in inpatient care. A variety of new AI tools have become available in recent years that can function as intelligent assistants to clinicians, constantly monitoring electronic data streams for important trends, or adjusting the settings of bedside devices. The integration of these tools into the intensive care unit can be expected to reduce costs and improve patient outcomes.
回顾人工智能在重症监护病房的历史及当前应用。
MEDLINE数据库、所选文章的参考文献以及关于该主题的现行文本。
被选入综述的研究使用人工智能工具进行多种重症监护应用，包括直接的患者护理和回顾性数据库分析。
对所有与该主题相关的文献进行了综述。
尽管一些最早的人工智能（AI）应用是以医学为导向的，但AI在医学领域尚未被广泛接受。尽管如此，患者人口统计学、临床和计费数据越来越多地以电子形式存在，因此易于通过智能软件进行分析。单个AI工具特别适合不同的任务，如波形分析或设备控制。
由于有大量可用数据以及住院护理中提高效率的内在机会，重症监护环境特别适合实施AI工具。近年来出现了各种新的AI工具，它们可以作为临床医生的智能助手，持续监测电子数据流中的重要趋势，或调整床边设备的设置。预计将这些工具整合到重症监护病房可降低成本并改善患者预后。
