Strengths-weaknesses-opportunities-threats analysis of artificial intelligence in anesthesiology and perioperative medicine

被引：7
作者：
Paiste, Henry J. [1 ]
Godwin, Ryan C. [2 ,3 ]
Smith, Andrew D. [3 ]
Berkowitz, Dan E. [2 ]
Melvin, Ryan L. [2 ]
机构：
[1] Univ Pittsburgh, Sch Med, Dept Anesthesiol & Perioperat Med, Pittsburgh, PA USA
[2] Univ Alabama Birmingham, Dept Anesthesiol & Perioperat Med, Birmingham Sch Med, Birmingham, AL 35249 USA
[3] Univ Alabama Birmingham, Dept Radiol, Birmingham Sch Med, Birmingham, AL USA
来源：
FRONTIERS IN DIGITAL HEALTH | 2024年 / 6卷
关键词：
data science; artificial intelligence; SWOT; perioperative medicine; machine learning and AI; PROPOFOL;
D O I：
10.3389/fdgth.2024.1316931
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
The use of artificial intelligence (AI) and machine learning (ML) in anesthesiology and perioperative medicine is quickly becoming a mainstay of clinical practice. Anesthesiology is a data-rich medical specialty that integrates multitudes of patient-specific information. Perioperative medicine is ripe for applications of AI and ML to facilitate data synthesis for precision medicine and predictive assessments. Examples of emergent AI models include those that assist in assessing depth and modulating control of anesthetic delivery, event and risk prediction, ultrasound guidance, pain management, and operating room logistics. AI and ML support analyzing integrated perioperative data at scale and can assess patterns to deliver optimal patient-specific care. By exploring the benefits and limitations of this technology, we provide a basis of considerations for evaluating the adoption of AI models into various anesthesiology workflows. This analysis of AI and ML in anesthesiology and perioperative medicine explores the current landscape to understand better the strengths, weaknesses, opportunities, and threats (SWOT) these tools offer.
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页数：7
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