Beard Kryshawna, Pennington Ashley M, Gauff Amina K, Mitchell Kelsey, Smith Johanna, Marion Donald W
Traumatic Brain Injury Center of Excellence, Silver Spring, MD 20910, USA.
General Dynamics Information Technology Fairfax Inc., Falls Church, VA 22042, USA.
Biomedicines. 2024 Oct 26;12(11):2459. doi: 10.3390/biomedicines12112459.
Artificial intelligence (AI) systems have emerged as promising tools for rapidly identifying patterns in large amounts of healthcare data to help guide clinical decision making, as well as to assist with medical education and the planning of research studies. Accumulating evidence suggests AI techniques may be particularly useful for aiding the diagnosis and clinical management of traumatic brain injury (TBI)-a considerably heterogeneous neurologic condition that can be challenging to detect and treat. However, important methodological and ethical concerns with the use of AI in medicine necessitate close monitoring and regulation of these techniques as advancements continue. The purpose of this narrative review is to provide an overview of common AI techniques in medical research and describe recent studies on the possible clinical applications of AI in the context of TBI. Finally, the review describes the ethical challenges with the use of AI in medicine, as well as guidelines from the White House, the Department of Defense (DOD), the National Academies of Sciences, Engineering, and Medicine (NASEM), and other organizations on the appropriate uses of AI in research.
人工智能（AI）系统已成为很有前景的工具，可用于快速识别大量医疗保健数据中的模式，以帮助指导临床决策，以及辅助医学教育和研究计划的制定。越来越多的证据表明，AI技术可能对辅助创伤性脑损伤（TBI）的诊断和临床管理特别有用，TBI是一种相当异质性的神经系统疾病，其检测和治疗可能具有挑战性。然而，随着技术的不断进步，在医学中使用AI存在重要的方法学和伦理问题，因此需要对这些技术进行密切监测和监管。本叙述性综述的目的是概述医学研究中常见的AI技术，并描述近期关于AI在TBI背景下可能的临床应用的研究。最后，该综述描述了在医学中使用AI的伦理挑战，以及白宫、国防部（DOD）、美国国家科学院、工程院和医学院（NASEM）以及其他组织关于在研究中适当使用AI的指导方针。
