• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

Diverse Applications of Artificial Intelligence in Neuroradiology
Recent advances in artificial intelligence (AI) and deep learning (DL) hold promise to augment neuroimaging diagnosis for patients with brain tumors and stroke. Here, the authors review the diverse landscape of emerging neuroimaging applications of AI, including workflow optimization, lesion segmentation, and precision education. Given the many modalities used in diagnosing neurologic diseases, AI may be deployed to integrate across modalities (MR imaging, computed tomography, PET, electroencephalography, clinical and laboratory findings), facilitate crosstalk among specialists, and potentially improve diagnosis in patient...
Source: Neuroimaging Clinics - September 16, 2020 Category: Radiology Authors: Michael Tran Duong, Andreas M. Rauschecker, Suyash Mohan Source Type: research

A Hybrid Approach for Sub-Acute Ischemic Stroke Lesion Segmentation Using Random Decision Forest and Gravitational Search Algorithm.
CONCLUSION: This paper provides a new hybrid GSA-RDF classifier technique to segment the ischemic stroke lesions in MR images. The experimental results demonstrate that the proposed technique has the Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and Mean Bias Error (MBE) ranges are 16.5485 %, 7.2654 %, and 2.4585 %individually. The proposed RDF-GSA algorithm has better precision and execution when compared with the existing ischemic stroke segmentation method. PMID: 31975663 [PubMed - in process]
Source: Current Medical Imaging Reviews - January 26, 2020 Category: Radiology Tags: Curr Med Imaging Rev Source Type: research

Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A  Meta-Analysis
This study confers the discipline, frameworks, and methodologies used by different deep learning techniques to diagnose different human neurological disorders. Here, one hundred and thirty-six different articles related to neurological and neuropsychiatric disorders diagnosed using different deep learning techniques are studied. The morbidity and mortality rate of major neuropsychiatric and neurological disorders has also bee n delineated. The performance and publication trend of different deep learning techniques employed in the investigation of these diseases has been examined and analyzed. Different performance metrics ...
Source: Journal of Medical Systems - January 3, 2020 Category: Information Technology Source Type: research

Medical News Today: What causes left sided facial numbness?
Possible causes of left sided facial numbness include stroke, multiple sclerosis, and Bell ’s palsy. Learn more about left sided facial numbness here.
Source: Health News from Medical News Today - October 2, 2019 Category: Consumer Health News Tags: Neurology / Neuroscience Source Type: news

What Causes Facial Nerve Palsy?
Discussion Facial nerve palsy has been known for centuries, but in 1821 unilateral facial nerve paralysis was described by Sir Charles Bell. Bell’s palsy (BP) is a unilateral, acute facial paralysis that is clinically diagnosed after other etiologies have been excluded by appropriate history, physical examination and/or laboratory testing or imaging. Symptoms include abnormal movement of facial nerve. It can be associated with changes in facial sensation, hearing, taste or excessive tearing. The right and left sides are equally affected but bilateral BP is rare (0.3%). Paralysis can be complete or incomplete at prese...
Source: PediatricEducation.org - June 3, 2019 Category: Pediatrics Authors: pediatriceducationmin Tags: Uncategorized Source Type: news

Transcriptomic Analysis of Mecp2 Mutant Mice Reveals Differentially Expressed Genes and Altered Mechanisms in Both Blood and Brain
This study was carried out in accordance with the recommendations of National Animal Welfare Authority, Ireland. The protocol was approved by the Animal Ethical Committee Trinity College Dublin and HPRA.Author ContributionsAS performed the experiments and wrote the paper; KH provided assistance in the design and analysis of the RNAseq experiment; DT contributed to sample extraction and establishment of the colony; and DT and MG designed and supervised all the parts of the research and the writing of the manuscript.FundingThe study was funded by the Wellcome Trust Grant WT079408/C/06/Z issued to MG, and by an SFI FN Funded ...
Source: Frontiers in Psychiatry - April 29, 2019 Category: Psychiatry Source Type: research

More Research Is Needed on Lifestyle Behaviors That Influence Progression of Parkinson's Disease
This article highlights some of these challenges in the design of lifestyle studies in PD, and suggests a more coordinated international effort is required, including ongoing longitudinal observational studies. In combination with pharmaceutical treatments, healthy lifestyle behaviors may slow the progression of PD, empower patients, and reduce disease burden. For optimal care of people with PD, it is important to close this gap in current knowledge and discover whether such associations exist. Introduction Parkinson's disease (PD) is an age-related complex progressive neurodegenerative disorder, with key p...
Source: Frontiers in Neurology - April 29, 2019 Category: Neurology Source Type: research

Preventable Cases of Oral Anticoagulant-Induced Bleeding: Data From the Spontaneous Reporting System
Conclusion: Our findings describe the most reported risk factors for preventability of oral anticoagulant-induced bleedings. These factors may be useful for targeting interventions to improve pharmacovigilance activities in our regional territory and to reduce the burden of medication errors and inappropriate prescription. Introduction Oral anticoagulant therapy is widely used for the prevention of stroke and systemic embolism in patients with atrial fibrillation, or for the prevention and treatment of deep vein thrombosis and pulmonary embolism (Raj et al., 1994; Monaco et al., 2017). Oral anticoagulants can be di...
Source: Frontiers in Pharmacology - April 29, 2019 Category: Drugs & Pharmacology Source Type: research

Effects of Neurotrophic Factors in Glial Cells in the Central Nervous System: Expression and Properties in Neurodegeneration and Injury
Conclusion and Future Aspects This review summarizes available NTF expression data, compiles existing evidence on the effects of glial NTF signaling in healthy conditions and in disease models (Figure 1), and highlights the importance of this topic for future studies. The relationship between NTFs and glia is crucial for both the developing and adult brain. While some of these factors, such as NT-3 and CNTF, have highly potent effects on gliogenesis, others like BDNF and GDNF, are important for glia-mediated synapse formation. Neurotrophic factors play significant roles during neurodegenerative disorders. In many cases, ...
Source: Frontiers in Physiology - April 25, 2019 Category: Physiology 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

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

Phagocytosis in the Brain: Homeostasis and Disease
Conclusions and Perspectives In this review we have summarized the critical role phagocytosis plays in both CNS homeostasis and disease. While much progress has been made in recent years, many unanswered questions remain. How phagocytosis in the CNS is influenced by numerous factors, such as microenvironment or phagocytic target, have yet to be fully resolved. Additionally, the utilization of novel technologies, including in vivo imaging techniques (217), iPSC-derived microglia (213) and high-throughput screens (66), will likely contribute to further identification of phagocytic pathways and consequences of phagocytosis w...
Source: Frontiers in Immunology - April 15, 2019 Category: Allergy & Immunology Source Type: research

A Deep Learning-Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations ADULT BRAIN
CONCLUSIONS: Fast, automated deep learning–based image-quality rating can decrease rescan and recall rates, while rendering them technologist-independent. It was estimated that decreasing rescans and recalls from the technologists' values to the values of deep learning could save hospitals $24,000/scanner/year.
Source: American Journal of Neuroradiology - February 13, 2019 Category: Radiology Authors: Sreekumari, A., Shanbhag, D., Yeo, D., Foo, T., Pilitsis, J., Polzin, J., Patil, U., Coblentz, A., Kapadia, A., Khinda, J., Boutet, A., Port, J., Hancu, I. Tags: ADULT BRAIN Source Type: research

Machine learning studies on major brain diseases: 5-year trends of 2014 –2018
AbstractIn the recent 5  years (2014–2018), there has been growing interest in the use of machine learning (ML) techniques to explore image diagnosis and prognosis of therapeutic lesion changes within the area of neuroradiology. However, to date, the majority of research trend and current status have not been clearly il luminated in the neuroradiology field. More than 1000 papers have been published during the past 5 years on subject classification and prediction focused on multiple brain disorders. We provide a survey of 209 papers in this field with a focus on top ten active areas of research; i.e., Alzheimer’ s di...
Source: Japanese Journal of Radiology - November 29, 2018 Category: Radiology Source Type: research

Detection of early infarction signs with machine learning-based diagnosis by means of the Alberta Stroke Program Early CT score (ASPECTS) in the clinical routine
ConclusionFor ASPECTS assessment, the examined software may provide valid data in case of normal brain. It may enhance the work of neuroradiologists in clinical decision making. A final human check for plausibility is needed, particularly in patient groups with pre-existing cerebral changes.
Source: Neuroradiology - July 31, 2018 Category: Radiology Source Type: research

Pages: 1  2  3  4