This is an expert from the paper “Role of Artificial Intelligence in TeleStroke: An Overview” the was the impetus to create this animated video
Box 1. A Glimpse into the Future—AI-Enhanced TeleStroke.
The emergency medical technician responds to a stroke call for a 55-year-old man at three in the morning. They perform a prehospital stroke scale that yields a score of more than 2, which alerts the ER physician. At the same time, the stroke attending physician is awakened by an alert notifying him of a possible large vessel occlusion. Before the patient even reaches the hospital, the intelligent EMR sifts through the patient’s records, creating a pertinent summary for the providers. The EMR simultaneously alerts the telestroke attending, who is currently 50 miles from the hospital, of the patient’s history of atrial fibrillation and the medications he is taking for it. Meanwhile, the patient is negative for brain bleed on Computed Tomography (CT) imaging and undergoes a CT Angiography (CTA). The software suggests a Tissue Plasminogen Activator (tPA) bolus, and the attending accepts the suggestion. It further suggests a CT Perfusion (CTP) along with a CTA but the attending only decides on the CTA. The software reads the CTA as it is being performed and detects a large vessel occlusion. It instantly informs the neuro-interventionist while reporting back to the telestroke attending. While performing these tasks, the AI application calculates and gives outcome predictions based on the stroke scale score, imaging reports, and EMR data it has received. The neuro-interventionist performs a thrombectomy after which the telestroke attending is notified automatically. The entire communication is carried out via HIPAA-compliant AI software.
Role of Artificial Intelligence in TeleStroke: An Overview
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.