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Total 48 results found since Jan 2013.

Assessment Model to Identify Patients With Stroke With a High Possibility of Discharge to Home Clinical Sciences
Conclusions—We have developed an assessment model for identifying patients with a high possibility of being discharged to their homes after an acute stroke. This model would be useful for health professionals to adequately plan patients’ discharge soon after their admission.
Source: Stroke - September 25, 2017 Category: Neurology Authors: Takahiro Itaya, Yusuke Murakami, Akiko Ota, Eiichi Nomura, Tomoko Fukushima, Masakazu Nishigaki Tags: Epidemiology, Quality and Outcomes Original Contributions Source Type: research

Clinical Features for Identifying the Possibility of Toileting Independence after Convalescent Inpatient Rehabilitation in Severe Stroke Patients: A Decision Tree Analysis Based on a Nationwide Japan Rehabilitation Database
This study aimed to identify the factors affecting toileting independence in severe stroke patients using ML.
Source: Journal of Stroke and Cerebrovascular Diseases - November 27, 2020 Category: Neurology Authors: Takeshi Imura, Yu Inoue, Ryo Tanaka, Junji Matsuba, Yasutaka Umayahara Source Type: research

Development of Machine Learning Models to Predict Probabilities and Types of Stroke at Prehospital Stage: the Japan Urgent Stroke Triage Score Using Machine Learning (JUST-ML)
AbstractIn conjunction with recent advancements in machine learning (ML), such technologies have been applied in various fields owing to their high predictive performance. We tried to develop prehospital stroke scale with ML. We conducted multi-center retrospective and prospective cohort study. The training cohort had eight centers in Japan from June 2015 to March 2018, and the test cohort had 13 centers from April 2019 to March 2020. We use the three different ML algorithms (logistic regression, random forests, XGBoost) to develop models. Main outcomes were large vessel occlusion (LVO), intracranial hemorrhage (ICH), suba...
Source: Translational Stroke Research - August 14, 2021 Category: Neurology Source Type: research

Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan).
Conclusion: Our preliminary results suggested a probability of the DL-based prediction models for stroke occurrence only by meteorological and calendar factors. In the future, by synchronizing a variety of medical information among the electronic medical records and personal smartphones as well as integrating the physical activities or meteorological conditions in real time, the prediction of stroke occurrence could be performed with high accuracy, to save medical resources, to have patients care for themselves, and to perform efficient medicine. PMID: 33598347 [PubMed]
Source: Surgical Neurology International - February 21, 2021 Category: Neurosurgery Tags: Surg Neurol Int 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

Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm
This study proposes an attention-channel-based UNet deep learning (DL) model that identifies the carotid plaques in the internal carotid artery (ICA) and common carotid artery (CCA) images. Our experiments consist of 970 ICA images from the UK, 379 CCA images from diabetic Japanese patients, and 300 CCA images from post-menopausal women from Hong Kong. We combined both CCA images to form an integrated database of 679 images. A rotation transformation technique was applied to 679 CCA images, doubling the database for the experiments. The cross-validation K5 (80% training: 20% testing) protocol was applied for accuracy deter...
Source: Atherosclerosis - October 26, 2022 Category: Cardiology Authors: Pankaj K Jain Abhishek Dubey Luca Saba Narender N Khanna John R Laird Andrew Nicolaides Mostafa M Fouda Jasjit S Suri Neeraj Sharma Source Type: research

Development of a deep learning model to identify hyperdense MCA sign in patients with acute ischemic stroke
ConclusionThe deep learning method appears potentially beneficial for identifying HMCAS on non-contrast CT in patients with acute ischemic stroke.
Source: Japanese Journal of Radiology - October 30, 2019 Category: Radiology Source Type: research

Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors.
CONCLUSION: The AtheroRisk-integrated ML system outperforms the AtheroRisk-conventional ML system using RF classifier. PMID: 32861380 [PubMed - in process]
Source: Indian Heart J - June 30, 2020 Category: Cardiology Authors: Jamthikar A, Gupta D, Khanna NN, Saba L, Laird JR, Suri JS Tags: Indian Heart J Source Type: research

Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment
Comput Biol Med. 2022 Aug 28;149:106017. doi: 10.1016/j.compbiomed.2022.106017. Online ahead of print.ABSTRACTStroke risk assessment using deep learning (DL) requires automated, accurate, and real-time risk assessment while ensuring compact model size. Previous DL paradigms suffered from challenges like memory size, low speed, and complex in nature lacking multi-ethnic, and multi-institution databases. This research segments and measures the area of the plaque far wall of the common carotid (CCA) and internal carotid arteries (ICA) in B-mode ultrasound using four types of solo, namely, UNet, UNet+, UNet++, and UNet+++, and...
Source: Atherosclerosis - September 5, 2022 Category: Cardiology Authors: Pankaj K Jain Neeraj Sharma Mannudeep K Kalra Amer Johri Luca Saba Jasjit S Suri Source Type: research

Robot-Assisted Therapy in Upper Extremity Hemiparesis: Overview of an Evidence-Based Approach
Conclusion Robotic therapy has matured and represents an embodiment of a paradigm shift in neurorehabilitation following a stroke: instead of focusing on compensation, it affords focus in ameliorating the impaired limb in line with concepts of neuroplasticity. This technology-based treatment provides intensity, interactivity, flexibility, and adaptiveness to patient's performance and needs. Furthermore, it increases the productivity of rehabilitation care. Of course, efficiency must be discussed within a local perspective. For example, following the cost containment shown in the VA ROBOTICS study (46), the UK Nati...
Source: Frontiers in Neurology - April 23, 2019 Category: Neurology Source Type: research

FDA Approves Two New Indications for XARELTO ® (rivaroxaban) to Help Prevent and Treat Blood Clots in Pediatric Patients
RARITAN, NJ, Dec. 20, 2021 – The Janssen Pharmaceutical Companies of Johnson & Johnson announced today that the U.S. Food and Drug Administration (FDA) has approved two pediatric indications for XARELTO® (rivaroxaban): the treatment of venous thromboembolism (VTE, or blood clots) and reduction in the risk of recurrent VTE in patients from birth to less than 18 years after at least five days of initial parenteral (injected or intravenous) anticoagulant treatment; and thromboprophylaxis (prevention of blood clots and blood-clot related events) in children aged two years and older with congenital heart disease who have...
Source: Johnson and Johnson - December 21, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news

Janssen Submits New Drug Application to U.S. FDA for XARELTO ® (rivaroxaban) to Help Prevent and Treat Blood Clots in Pediatric Patients
RARITAN, NJ, June 23, 2021 – The Janssen Pharmaceutical Companies of Johnson & Johnson announced today it has submitted a New Drug Application (NDA) to the U.S. Food and Drug Administration (FDA) for the use of XARELTO® (rivaroxaban) in pediatric patients. The NDA seeks two pediatric indications: treatment of venous thromboembolism (VTE, or blood clots) and reduction in the risk of recurrent VTE in patients aged birth to less than 18 years of age after at least five days of initial parenteral anticoagulant treatment; and thromboprophylaxis (prevention of blood clots) in patients aged 2 years and older with congenita...
Source: Johnson and Johnson - June 23, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news

Modifiable Lifestyle Factors and Cognitive Function in Older People: A Cross-Sectional Observational Study
Conclusions: Lifestyle factors, such as physical activity, sleep, and social activity appear to be associated with cognitive function among older people. Physical activity and appropriate durations of sleep and conversation are important for cognitive function. Introduction Dementia is a major public health issue worldwide, with a serious burden for patients, caregivers, and society, as well as substantial economic impacts (1). Although the prevalence of late-life cognitive impairment and dementia are expected to increase in future, effective disease-modifying treatments are currently unavailable. Therefore, unders...
Source: Frontiers in Neurology - April 23, 2019 Category: Neurology Source Type: research

Neurophysiological Analysis of Intermanual Transfer in Motor Learning
In this study, MEPs were induced during the subject’s imaged kinesthetic MI. This involves recalling muscle contraction based on a muscle sensory image and was reported to indicate the activity of brain regions similar to those involved in actual muscle contraction (Ruby and Decety, 2001). In the transfer training group, the muscle sensory image evaluation correlated to the actual task execution with the right hand. As a result, it was easy to recall the kinesthetic MI for the training task, thus affecting MI of the non-trained limbs so that MEP changes occurred in the left hand’s MI. In addition, brain exc...
Source: Frontiers in Human Neuroscience - April 17, 2019 Category: Neuroscience Source Type: research

Harnessing the Four Elements for Mental Health
DiscussionAs detailed above, the “elements” in both a classical and a contemporary sense have effects on our mental health and are potentially modifiable aspects that can be harnessed as therapeutic interventions. The most robust interventional evidence currently available shows tentative support for several use of the elements via horticultural and nature-exposure therapy, green exercise/physical activity, sauna and heat therapy, balneotherapy, and breathing exercises. It should be noted that, in many cases, these interventions were not studied in definitive diagnosed psychiatric disorders and thus it is pre...
Source: Frontiers in Psychiatry - April 23, 2019 Category: Psychiatry Source Type: research