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Simulation for Neurology training: Acute setting and beyond
Rev Neurol (Paris). 2021 Jul 3:S0035-3787(21)00599-3. doi: 10.1016/j.neurol.2021.03.008. Online ahead of print.ABSTRACTSimulation-based training is adapted for teaching neurology, and it can offer multiple programs for general and specialized neurologists. Indeed, simulation training is "learner-centered", assuring sessions tailored to each learner level, and provides a realistic, safe, controlled and reproducible environment to improve knowledge, technical and non-technical skills, including situational awareness, communication, teamwork and leadership. Indeed, simulation tools allow multidisciplinary sessions with differ...
Source: Revue Neurologique - July 7, 2021 Category: Neurology Authors: B Casolla Source Type: research

Evaluation of Intima-Media Thickness and Arterial Stiffness as Early Ultrasound Biomarkers of Carotid Artery Atherosclerosis
AbstractCarotid atherosclerosis is a major and potentially preventable cause of ischemic stroke. It begins early in life and progresses silently over the years. Identification of individuals with subclinical atherosclerosis is needed to initiate early aggressive vascular prevention. Although carotid plaque appears to be a powerful predictor of cardiovascular risk, carotid intima-media thickness (CIMT) and arterial stiffness can be detected at the initial phases and, therefore, they are considered important new biomarkers of carotid atherosclerosis. There is a well-documented association between CIMT and cerebrovascular eve...
Source: Cardiology and Therapy - April 1, 2022 Category: Cardiology Source Type: research

How AI Is Changing Medical Imaging to Improve Patient Care
That doctors can peer into the human body without making a single incision once seemed like a miraculous concept. But medical imaging in radiology has come a long way, and the latest artificial intelligence (AI)-driven techniques are going much further: exploiting the massive computing abilities of AI and machine learning to mine body scans for differences that even the human eye can miss. Imaging in medicine now involves sophisticated ways of analyzing every data point to distinguish disease from health and signal from noise. If the first few decades of radiology were about refining the resolution of the pictures taken of...
Source: TIME: Health - November 4, 2022 Category: Consumer Health News Authors: Alice Park and Video by Andrew D. Johnson Tags: Uncategorized Frontiers of Medicine 2022 healthscienceclimate Innovation sponsorshipblock Source Type: news

Fully automatic carotid arterial stiffness assessment from ultrasound videos based on machine learning
This study aims to evaluate the stiffness of the CCA using machine learning (ML) through the features of diameter change ( ΔD) and stiffness parameters. This study was conducted in seven stages: data collection, preprocessing, CCA segmentation, CCA lumen diameter (DCCA) computing during cardiac cycles, denoising signals of DCCA, computational of AS parameters, and stiffness assessment using ML. The 51 videos (with 25  s) of CCA B-mode ultrasound (US) were used and analyzed. Each US video yielded approximately 750 sequential frames spanning about 24 cardiac cycles. Firstly, US preset settings with time gain compensation w...
Source: Australasian Physical and Engineering Sciences in Medicine - February 14, 2023 Category: Biomedical Engineering Source Type: research

Deep convolution neural network for screening carotid calcification in dental panoramic radiographs
PLOS Digit Health. 2023 Apr 12;2(4):e0000081. doi: 10.1371/journal.pdig.0000081. eCollection 2023 Apr.ABSTRACTIschemic stroke, a leading global cause of death and disability, is commonly caused by carotid arteries atherosclerosis. Carotid artery calcification (CAC) is a well-known marker of atherosclerosis. Such calcifications are classically detected by ultrasound screening. In recent years it was shown that these calcifications can also be inferred from routine panoramic dental radiographs. In this work, we focused on panoramic dental radiographs taken from 500 patients, manually labelling each of the patients' sides (ea...
Source: Atherosclerosis - April 12, 2023 Category: Cardiology Authors: Moshe Amitay Zohar Barnett-Itzhaki Shiran Sudri Chana Drori Tamar Wase Imad Abu-El-Naaj Millie Kaplan Ben-Ari Merton Rieck Yossi Avni Gil Pogozelich Ervin Weiss Morris Mosseri Source Type: research

157 E-Books New to JEFFLINE
Scott Library added these 157 e-books to the growing collection in May and June: Accurate Results in the Clinical Laboratory Adult Emergency Medicine Adult-Gerontology and Family Nurse Practitioner Certification Examination (4th ed.) Advanced Assessment: Interpreting Findings and Formulating Differential Diagnoses (2nd ed.) Advancing Your Career: Concepts of Professional Nursing (5th ed.) Arrhythmia Essentials Atlas of Advanced Operative Surgery Atlas of Clinical Neurology (3rd ed.) Atlas of Hematopathology: Morphology, Immunophenotype, Cytogenetics, and Molecular Approaches Atlas of Human Infectious Diseases Atlas of No...
Source: What's New on JEFFLINE - June 25, 2013 Category: Databases & Libraries Authors: Gary Kaplan Tags: All News Clinicians Researchers Students Teaching Faculty Source Type: news

What is the Remission Rate for Antithyroid Drug Treatment for Hyperthyroidism in Children?
Discussion The thyroid gland secrets two hormones – T4 which is a prohormone and T3 which is the biologically active hormone. Receptors for T3 are found in nearly all body tissues. T3 regulates metabolism and energy production. Organs most affected are the heart, liver and central nervous system as well as growth of the fetus and child. Hyperthyroidism is common with a prevalence rate of about 1-2% for women and 0.2% for men. The most common cause of thyrotoxicosis is Grave’s disease where autoantibodies to thyroid stimulating hormone (TSH) exist. These autoantibodies attach to thyroid tissue TSH receptors and...
Source: PediatricEducation.org - January 26, 2015 Category: Pediatrics Authors: pediatriceducationmin Tags: Uncategorized Source Type: news

Contrast-enhanced ultrasound to predict the risk of microembolization during carotid artery stenting
Conclusion Contrast enhancement of the carotid plaque is strongly associated with post-procedural microembolization and for this reason it can be considered a reliable tool for an accurate selection of patients undergoing this endovascular treatment. However, the neurocognitive test scores performed in this study are not enough sensible to appreciate the impact of the neurological injury on the day life activities.
Source: La Radiologia Medica - March 25, 2015 Category: Radiology Source Type: research

PCA-based Polling Strategy in Machine Learning Framework for Coronary Artery Disease Risk Assessment in Intravascular Ultrasound: A Link between Carotid and Coronary Grayscale Plaque Morphology
The major cause of morbidity in the world is due to cardiovascular disease (CVD). In 2012 alone, CVDs caused 17.5 million deaths worldwide, out of which, 7.4 million deaths were due to coronary arterial disease and 6.7 million were due to stroke or cerebrovascular disease [1]. A higher occurrence of CVD in the young and middle-aged population is observed in the south-east Asia region. About 35% of all such deaths are between the age group of 35 to 64 years and are estimated to happen in India [2] between the years of 2000 and 2030.
Source: Computer Methods and Programs in Biomedicine - March 1, 2016 Category: Bioinformatics Authors: Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Pankaj K. Jain, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri Source Type: research

Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning –Based Tissue Characterization
AbstractPurpose of the ReviewRheumatoid arthritis (RA) is a chronic, autoimmune disease which may result in a higher risk of cardiovascular (CV) events and stroke. Tissue characterization and risk stratification of patients with rheumatoid arthritis are a challenging problem. Risk stratification of RA patients using traditional risk factor –based calculators either underestimates or overestimates the CV risk. Advancements in medical imaging have facilitated early and accurate CV risk stratification compared to conventional cardiovascular risk calculators.Recent FindingIn recent years, a link between carotid atheroscleros...
Source: Current Atherosclerosis Reports - January 25, 2019 Category: Cardiology Source Type: research

Age Well with Smart HealthTech
America is going gray. According to U.S. Census data, in 2030 even the youngest Baby Boomers will have reached 65, and older Americans will make up 21 percent of the population. That’s up from 15 percent today. By 2060, nearly a quarter of Americans will be at least 65 and a half million will reach age 100. These changing demographics give urgency to the concept of “aging in place.” Nobody wants to lose their independence, but that’s the reality for many who are forced from their homes by cardiovascular disease, stroke, cancer, diabetes or other chron...
Source: MDDI - August 19, 2019 Category: Medical Devices Authors: Stephanie Van Ness Tags: Digital Health Source Type: news

What Are Some Risk Factors for Cerebral Palsy?
Discussion The term, cerebral palsy, or CP has gone through many iterations with the first description in 1861 by W.J. Little who described it as “The condition of spastic rigidity of the limbs of newborn children.” The most recent definition is from Rosenbaun et al. in 2007 which states it is “a group of permanent disorders of the development of movement and posture, causing activity limitation, that are attributed to non-progressive disturbances that occurred in the developing fetal or infant brain. The motor disorders of cerebral palsy are often accompanied by disturbances of sensation, perception, cog...
Source: PediatricEducation.org - March 9, 2020 Category: Pediatrics Authors: Pediatric Education Tags: Uncategorized Source Type: news

AI comparable to rads for interpreting wrist x-rays
An artificial intelligence (AI) deep-learning algorithm performs comparably...Read more on AuntMinnie.comRelated Reading: Ultrasound can benefit daily rheumatology practice Skip ultrasound for treatment decisions in rheumatoid arthritis AI accurately estimates bone age on 3D hand MRI AI can detect, localize fractures on wrist x-rays Ultrasound imaging gauges muscle tightness after stroke
Source: AuntMinnie.com Headlines - March 17, 2020 Category: Radiology Source Type: news

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