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Total 273 results found since Jan 2013.
FDA clears software using AI to evaluate CT scans for stroke
Artificial Intelligence healthcare developer Viz.ai said this week it won approval from the FDA for its LVO Stroke platform designed to analyze computed tomography results and notify providers of potential strokes, touting it as the first such system to win FDA clearance.
The company’s LVO Stroke platform is designed using deep learning and connects to a hospital CT scanner to alert stroke specialists that a suspected LVO stroke has been identified, with the ability to send radiological images directly to the physician’s phones.
“Timely LVO stroke identification and transfer to a specialist hospital that ...
Source: Mass Device - February 16, 2018 Category: Medical Devices Authors: Fink Densford Tags: Food & Drug Administration (FDA) Regulatory/Compliance Software / IT vizai Source Type: news
When Time Is Critical: How Involving Frontline Health Workers Can Improve Stroke Survival Rates
By Carmen Graffagnino,
Neurologist, Duke Hospital ; Nilima Mehta ,
Philanthropy program manager, Medtronic Foundation ; Anne Katharine Wales,
Senior philanthropy portfolio lead, Medtronic FoundationApril 09, 2019Here are three ways to change a system of acute care.April 10 started as an ordinary day for Sarah. But while eating breakfast, her husband noticed that her face had started to droop and she was unable to find her words. Immediately he called 911.Within 10 minutes, the ambulance arrived with emergency medical services (EMS), a segment of the local health system that recently became partners in a new regional ...
Source: IntraHealth International - April 9, 2019 Category: International Medicine & Public Health Authors: mnathe Tags: Noncommunicable Diseases Education & Performance Private-Sector Approaches SwitchPoint Health Workforce Systems USA Source Type: news
Sensors, Vol. 21, Pages 7784: Detection of Unilateral Arm Paresis after Stroke by Wearable Accelerometers and Machine Learning
alle Åström
Recent advances in stroke treatment have provided effective tools to successfully treat ischemic stroke, but still a majority of patients are not treated due to late arrival to hospital. With modern stroke treatment, earlier arrival would greatly improve the overall treatment results. This prospective study was performed to asses the capability of bilateral accelerometers worn in bracelets 24/7 to detect unilateral arm paralysis, a hallmark symptom of stroke, early enough to receive treatment. Classical machine learning algorithms as well as state-of-the-art deep neural networks were evaluated on detectio...
Source: Sensors - November 23, 2021 Category: Biotechnology Authors: Johan Wasselius Eric Lyckeg ård Finn Emma Persson Petter Ericson Christina Brog årdh Arne G. Lindgren Teresa Ullberg Kalle Åström Tags: Article Source Type: research
Safety and efficacy of co-careldopa as an add-on therapy to occupational and physical therapy in patients after stroke (DARS): a randomised, double-blind, placebo-controlled trial
Publication date: June 2019Source: The Lancet Neurology, Volume 18, Issue 6Author(s): Gary A Ford, Bipin B Bhakta, Alastair Cozens, Suzanne Hartley, Ivana Holloway, David Meads, John Pearn, Sharon Ruddock, Catherine M Sackley, Eirini-Christina Saloniki, Gillian Santorelli, Marion F Walker, Amanda J FarrinSummaryBackgroundDopamine is a key modulator of striatal function and learning and might improve motor recovery after stroke. Previous small trials of dopamine agonists after stroke provide equivocal evidence of effectiveness on improving motor recovery. We aimed to assess the safety and efficacy of co-careldopa plus routi...
Source: The Lancet Neurology - May 22, 2019 Category: Neurology Source Type: research
Sensors, Vol. 21, Pages 5334: Prediction of Myoelectric Biomarkers in Post-Stroke Gait
This study aimed to evaluate the potential myoelectric biomarkers for the classification of stroke-impaired muscular activity of the stroke patient group and the muscular activity of the control healthy adult group. We also proposed an EMG-based gait monitoring system consisting of a portable EMG device, cloud-based data processing, data analytics, and a health advisor service. This system was investigated with 48 stroke patients (mean age 70.6 years, 65% male) admitted into the emergency unit of a hospital and 75 healthy elderly volunteers (mean age 76.3 years, 32% male). EMG was recorded during walking using the portable...
Source: Sensors - August 7, 2021 Category: Biotechnology Authors: Iqram Hussain Se-Jin Park Tags: Article Source Type: research
I Never Thought Stroke Would Happen to Me
by Myra Wilson, Stroke Survivor
On November 3, 2014, I was in nursing school working as a student nurse at a hospital in Seattle. My first sign that something was not quite right was when I was walking through the nursing station and both of my eyes went blurry. I could still see color but I couldn't see letters. It was blurry for about 30 seconds before clearing up again.
I was going to lunch and went to give a report to another nurse. The nurse noticed while I was speaking that I slurred my speech. I didn't notice my speech was slurred at all. It was at that time that I experienced a sudden sharp pain on the right s...
Source: Healthy Living - The Huffington Post - May 13, 2016 Category: Consumer Health News Source Type: news
Academic outcome in pediatric ischemic stroke.
Abstract
An important cause of acquired brain injury in children, pediatric ischemic stroke can cause sequelae across a wide range of cognitive domains, including verbal reasoning and processing speed. As a result, survivors are especially vulnerable to academic difficulties and face unique challenges compared to their peers. Despite this knowledge, pediatric stroke remains an understudied neurological condition, and its impact on school functioning poorly understood. The present clinical study addressed academic outcome in this population using a multifaceted approach. Patients were recruited for participation fr...
Source: Child Neuropsychology - January 8, 2020 Category: Child Development Authors: Champigny CM, Deotto A, Westmacott R, Dlamini N, Desrocher M Tags: Child Neuropsychol Source Type: research
Sensors, Vol. 23, Pages 3500: A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform
il Roushdy
Artificial intelligence (AI) techniques for intelligent mobile computing in healthcare has opened up new opportunities in healthcare systems. Combining AI techniques with the existing Internet of Medical Things (IoMT) will enhance the quality of care that patients receive at home remotely and the successful establishment of smart living environments. Building a real AI for mobile AI in an integrated smart hospital environment is a challenging problem due to the complexities of receiving IoT medical sensors data, data analysis, and deep learning algorithm complexity programming for mobile AI engine implementa...
Source: Sensors - March 27, 2023 Category: Biotechnology Authors: Bassant M. Elbagoury Luige Vladareanu Victor Vl ădăreanu Abdel Badeeh Salem Ana-Maria Travediu Mohamed Ismail Roushdy Tags: Article Source Type: research
Predictive and diagnosis models of stroke from hemodynamic signal monitoring
AbstractThis work presents a novel and promising approach to the clinical management of acute stroke. Using machine learning techniques, our research has succeeded in developing accurate diagnosis and prediction real-time models from hemodynamic data. These models are able to diagnose stroke subtype with 30 min of monitoring, to predict the exitus during the first 3 h of monitoring, and to predict the stroke recurrence in just 15 min of monitoring. Patients with difficult access to a CT scan and all patients that arrive at the stroke unit of a specialized hospital will benefit from these positive results. The results obtai...
Source: Medical and Biological Engineering and Computing - May 14, 2021 Category: Biomedical Engineering Source Type: research
Using convolutional neural network to analyze brain MRI images for predicting functional outcomes of stroke
AbstractNowadays, the physicians usually predict functional outcomes of stroke based on clinical experiences and big data, so we wish to develop a model to accurately identify imaging features for predicting functional outcomes of stroke patients. Using magnetic resonance imaging of ischemic and hemorrhagic stroke patients, we developed and trained a VGG-16 convolutional neural network (CNN) to predict functional outcomes after 28-day hospitalization. A total of 44 individuals (24 men and 20 women) were recruited from Taoyuan General Hospital and China Medical University Hsinchu Hospital to enroll in the study. Based on â€...
Source: Medical and Biological Engineering and Computing - August 2, 2022 Category: Biomedical Engineering Source Type: research
Japan approves iSchemaView ’ s Rapid stroke imaging device
iSchemaView today announced that it received registration approval in Japan for its Rapid imaging platform.
The company received registration approval through the Japanese Pharmaceutical Affairs Law and through a third party review by the Japanese Assn. for the Advancement of Medical Equipment for the Rapid imaging platform.
Rapid is designed to give physicians a fast, fully automated and easy-to-interpret imaging system that can help doctors make clinical decisions about stroke.
“Stroke remains the fourth most common cause of death in Japan, and as the population ages, stroke is likely to become an increasing health...
Source: Mass Device - July 8, 2019 Category: Medical Devices Authors: Danielle Kirsh Tags: Cardiovascular Hospital Care Imaging ischemaview Source Type: news
The association of stroke risk factors with the future thickness of carotid atherosclerotic plaques
DISCUSSION: The effect of each predictor on plaque thickness is complicated by interactions with other risk factors, particularly for the left carotid artery. The side of carotid artery involvement should be considered for stroke prevention.PMID:37125820 | DOI:10.1080/01616412.2023.2208484
Source: Atherosclerosis - May 1, 2023 Category: Cardiology Authors: Tanya Mohammadi Zahra Hooshanginezhad Babak Mohammadi Sina Dolatshahi Source Type: research
