Role of Artificial Intelligence in TeleStroke: An Overview

被引:19
作者
Ali, Faryal [1 ]
Hamid, Umair [2 ]
Zaidat, Osama [3 ,4 ]
Bhatti, Danish [5 ]
Kalia, Junaid Siddiq [6 ,7 ]
机构
[1] Dow Univ Hlth Sci, Dept Med, Karachi, Pakistan
[2] Univ Illinois, Coll Med, Dept Neurol, Peoria, IL 61656 USA
[3] St Vincent Mercy Med Ctr, Dept Endovasc Neurosurg, Toledo, OH USA
[4] St Vincent Mercy Med Ctr, Dept Stroke, Toledo, OH USA
[5] Univ Nebraska Med Ctr, Dept Neurol Sci, Omaha, NE USA
[6] AINeuroCare, Dallas, TX 75082 USA
[7] VeeMed Inc, Clin Strategy, Roseville, CA 95661 USA
关键词
artificial intelligence; machine learning; telestroke; teleneurology; telehealth; telemedicine; ACUTE ISCHEMIC-STROKE; TELEMEDICINE; TELENEUROLOGY; FUTURE; TIME;
D O I
10.3389/fneur.2020.559322
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Teleneurology has provided access to neurological expertise and state-of-the-art stroke care where previously they have been inaccessible. The use of Artificial Intelligence with machine learning to assist telestroke care can be revolutionary. This includes more rapid and more reliable diagnosis through imaging analysis as well as prediction of hospital course and 3-month prognosis. Intelligent Electronic Medical Records can search free text and provide decision assistance by analyzing patient charts. Speech recognition has advanced enough to be reliable and highly convenient. Smart contextually aware communication and alert programs can enhance efficiency of patient flow and improve outcomes. Automated data collection and analysis can make quality improvement and research projects quicker and much less burdensome. Despite current challenges, these synergistic technologies hold immense promise in enhancing the clinician experience, helping to reduce physician burnout while improving patient health outcomes at a lower cost. This brief overview discusses the multifaceted potential of AI use in telestroke.
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页数:4
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