Background: Augmented reality enables the wearer to see both their physical environment and virtual objects. Holograms could allow 3D video of providers to be transmitted to distant sites, allowing patients to interact with virtual providers as if they are in the same physical space. Our aim was to determine if Tele-Stroke augmented with Holo-Stroke, compared with Tele-Stroke alone, could improve satisfaction and perception of immersion for the patient. Methods: Kinect cameras positioned at 90-degree intervals around the hub practitioner were used. Cameras streamed real-time optical video to a unity point-cloud program where the data were stitched together in a 360-degree view. The resultant hologram was positioned in 3D space and was visible through the head-mounted display by the patient. Radiology images were shared in Tele-Stroke and via hologram. Likert satisfaction questions were administered. Wilcoxon signed-rank testing was used. Results: Each of the 30 neurology clinic participants scored both Tele-Stroke and Holo-Stroke. Out of these, 29 patients completed the assessments (1 failure owing to computer reboot). Average age was 52 years, with 53.3% of the patients being female, 70.0% being White, and 13.3% being Hispanic. Likert scale score median \"Overall\" was 32 Tele-Stroke versus 48 Holo-Stroke (p < 0.00001), \"Immersion\" was 5 versus 10 (p < 0.00001), \"Beneficial Technique\" was 6 versus 10 (p < 0.00001), and \"Ability to See Images\" was 5 versus 10 (p < 0.00001). Discussion: Holo-Stroke 3D holographic Tele-Stroke exams resulted in feasibility, satisfaction, and high perception of immersion for the patient. Patients were enthusiastic for the more immersive, personal discussion with their provider and a robust way to experience radiology images. Though further assessments are needed, Holo-Stroke can help the provider \"be there, not just see there!\"

Cerebrovascular accidents (CVAs) often occur suddenly and abruptly, leaving patients with long-lasting disabilities that place a huge emotional and economic burden on everyone involved. CVAs result when emboli or thrombi travel to the brain and impede blood flow; the subsequent lack of oxygen supply leads to ischemia and eventually tissue infarction. The most important factor determining the prognosis of CVA patients is time, specifically the time from the onset of disease to treatment. Artificial intelligence (AI)-assisted neuroimaging alleviates the time constraints of analysis faced using traditional diagnostic imaging modalities, thus shortening the time from diagnosis to treatment. Numerous recent studies support the increased accuracy and processing capabilities of AI-assisted imaging modalities. However, the learning curve is steep, and huge barriers still exist preventing a full-scale implementation of this technology. Thus, the potential for AI to revolutionize medicine and healthcare delivery demands attention. This paper aims to elucidate the progress of AI-powered imaging in CVA diagnosis while considering traditional imaging techniques and suggesting methods to overcome adoption barriers in the hope that AI-assisted neuroimaging will be considered normal practice in the near future. There are multiple modalities for AI neuroimaging, all of which require collecting sufficient data to establish inclusive, accurate, and uniform detection platforms. Future efforts must focus on developing methods for data harmonization and standardization. Furthermore, transparency in the explainability of these technologies needs to be established to facilitate trust between physicians and AI-powered technology. This necessitates considerable resources, both financial and expertise wise which are not available everywhere.

Advances in telemedicine have allowed physicians to provide care in areas that were previously geographically or practically inaccessible. Roughly 70% of all US hospital have less than 200 bed capacity and nearly 50% have fewer than 100 beds. These smaller hospitals often do not have specialists available for bedside patient care, making them potential beneficiaries of telemedicine medical specialty services. In 2005, the American Stroke Association proposed implementing telemedicine services in effort to increase access to acute stroke care in neurologically underserved areas such as small hospitals. Tele-stroke services have since become established across the country and are now utilized by approximately 30% of US hospitals. By reducing the time between presentation and evaluation by a stroke specialist, tele-stroke programs have successfully increased patient access to life-saving treatment with tissue-plasminogen activator (t-PA) treatments. This change has been especially profound remote and underserved community hospitals. However in the evaluation of acute vision loss, an area where ophthalmology and stroke care overlap, increased reliance on tele-stroke services has contributed to some unique challenges. Acute vision has a complex differential and is commonly a result of conditions other than stroke. When tele-stroke services are engaged for the evaluation of acute vision loss, the neurologist is asked to make medical decisions without complete information about the eye. This situation can expose patients to costly or inappropriate testing, unnecessary hospitalizations, or lead to delayed diagnosis and treatment of non-neurologic conditions of the eye. The goal of this paper is to provide an overview of the overlap between stroke and vision loss, highlight the challenges inherent in using tele-stroke in evaluating acute vision loss and to offer our comments on how increased communication between emergency medicine, ophthalmology, and neurology services can ensure that patients with vision loss receive the highest standard of care in all hospitals.

UNASSIGNED: The National Institutes of Health Stroke Scale (NIHSS) is the most recommended tool for objectively quantifying the impairment caused by a suspected stroke. Nevertheless, it is mainly used by trained neurologists in the emergency department (ED). To bring forward the NIHSS to the pre-hospital setting, a smartphone-based Telestroke system was developed. It captures the full NIHSS by video, transmits it off-line, and enables assessment by a distant stroke physician. We aimed to compare the reliability of an NIHSS score determined by a neurologist from afar, using the platform with a standard NIHSS assessment performed in the emergency departments.
UNASSIGNED: A multi-center prospective study was conducted in two centers (Vall d\'Hebron, Barcelona, and Rambam, Israel). Patients admitted to the ED with suspected stroke had a neurological exam based on the NIHSS, while being recorded by the system. A skilled neurologist rated the NIHSS according to the videos offline. The results were compared with the NIHSS score given by a neurologist at the bedside.
UNASSIGNED: A total of 95 patients with suspected stroke were included. The overall intraclass correlation coefficient was 0.936 (0.99 in VdH and 0.84 in Rambam), indicating excellent and good reliability, respectively.
UNASSIGNED: Remote stroke assessment based on the NIHSS, using videos segments collected by a dedicated platform, installed on a standard smartphone, is a reliable measurement as compared with the bedside evaluation.

UNASSIGNED: Timely access to comprehensive stroke centers for patients suffering from acute ischemic stroke due to large vessel occlusion (LVO) remains a commonly encountered obstacle worldwide, especially in areas with no comprehensive stroke or thrombectomy-capable stroke centers.
UNASSIGNED: To present our novel experience with a \"thrombectomy-and-back\" model implemented in the Eastern Province of Saudi Arabia.
UNASSIGNED: King Fahd Hospital of the University (KFHU), a 600-bed hospital located in Al Khobar with an open-access emergency department, was designated as a comprehensive stroke center in the Eastern Province. \"Thrombectomy-and-back\" was designed such that the neurologist in the referring hospital directly communicates with the attending neurovascular team at KFHU for their anticipation of the case, and subsequently confirms LVO presence through urgent acquisition of a CT and a CT angiogram. Once LVO was confirmed, the patients were timely transferred to KFHU for mechanical thrombectomy. Upon procedure completion, the patients returned to the referring hospital with the same medical and EMS team. The safety of transfer and peri-procedural complications were analyzed.
UNASSIGNED: From December 2017 to December 2019, 20 thrombectomy-and-back codes were activated, of which 10 were deactivated on negative LVO and 10 remained activated. Of these 10 patients, 2 required admission to our hospital\'s Neuro-ICU: one was because the middle cerebral artery reoccluded during the procedure and the other was due to hemodynamic instability upon arrival; this first patient passed away 2 months later due to the complications of the malignant left middle cerebral artery stroke.
UNASSIGNED: The novel Thrombectomy-and-Back model in the Eastern Province of Saudi Arabia has proved to be a safe and efficient approach for patients presenting with LVO to receive timely interventional therapy and minimizing futile transfers.

We present the case of a 91-year-old patient scheduled for a preoperative telehealth evaluation who was found to have altered mental status from an acute stroke. Her care, if delayed, could have caused permanent morbidity during the coronavirus disease 2019 (COVID-19) pandemic. This case highlights the digital leap the pandemic spurred: 1. telehealth in the elderly, 2. meaningful history and physical during telehealth visit, 3. family engagement and education, and 4. meaningful impact on patient outcomes.

We sought to assess the effects of participation in a tele-stroke program on timeliness of intravenous tissue plasminogen activator (IVtPA) administration.
Among 259 consecutive acute ischemic stroke patients treated with IVtPA through the Rush tele-stroke program, we compared two cohorts: Period 1 (July 2011 to June 2013) and Period 2 (July 2013 to July 2014). We collected data on demographics, National Institutes of Health Stroke Scale (NIHSS), and times of last known normal (LKN), initiation of tele-stroke consult, and IVtPA administration.
The mean age was 69.6 years, 56% were female, the mean NIHSS was 11.8, and 41.7% patients were transferred to the hub site. The mean time from initiation of tele-stroke consult to IVtPA administration was 42.2 min. Time from initiation of tele-stroke consult to IVtPA administration improved from Period 1 to Period 2 (49.9 min vs. 35 min, p < 0.0001). This improvement was due to faster mean time from initiation of tele-stroke consult to IVtPA advised (17.4 min vs. 12.5 min, p < 0.0001) and faster mean time from IVtPA advised to administration (33.1 min vs. 22.5 min, p < 0.0001). The mean time from LKN to IVtPA given was also significantly improved (148.6 min vs. 160.9 min, p 0.045).
Participation in a tele-stroke program associated with improvement in the timeliness of IVtPA delivery.

Racial and ethnic disparities have been previously reported in acute stroke care. We sought to determine the effect of telemedicine (TM) on access to acute stroke care for racial and ethnic minorities in the state of Texas. Data were collected from the US Census Bureau, The Joint Commission and the American Hospital Association. Access for racial and ethnic minorities was determined by summing the population that could reach a primary stroke centre (PSC) or telemedicine spoke within specified time intervals using validated models. TM extended access to stroke expertise by 1.5 million residents. The odds of providing 60-minute access via TM were similar in Blacks and Whites (prevalence odds ratios (POR) 1.000, 95% CI 1.000-1.000), even after adjustment for urbanization (POR 1.000, 95% CI 1.000-1.001). The odds of providing access via TM were also similar for Hispanics and non-Hispanics (POR 1.000, 95% CI 1.000-1.000), even after adjustment for urbanization (POR 1.000, 95% CI 1.000-1.000). We found that telemedicine increased access to acute stroke care for 1.5 million Texans. While racial and ethnic disparities exist in other components of stroke care, we did not find evidence of disparities in access to the acute stroke expertise afforded by telemedicine.