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https://www.readbyqxmd.com/read/28637065/evaluation-of-an-e-learning-system-for-diagnosis-of-gastric-lesions-using-magnifying-narrow-band-imaging-a-multicenter-randomized-controlled-study
#1
Hiroyoshi Nakanishi, Hisashi Doyama, Hideki Ishikawa, Noriya Uedo, Takuji Gotoda, Mototsugu Kato, Shigeaki Nagao, Yasuaki Nagami, Hiroyuki Aoyagi, Atsushi Imagawa, Junichi Kodaira, Shinya Mitsui, Nozomu Kobayashi, Manabu Muto, Hajime Takatori, Takashi Abe, Masahiko Tsujii, Jiro Watari, Shuhei Ishiyama, Ichiro Oda, Hiroyuki Ono, Kazuhiro Kaneko, Chizu Yokoi, Tetsuya Ueo, Kunihisa Uchita, Kenshi Matsumoto, Takashi Kanesaka, Yoshinori Morita, Shinichi Katsuki, Jun Nishikawa, Katsuhisa Inamura, Tetsu Kinjo, Katsumi Yamamoto, Daisuke Yoshimura, Hiroshi Araki, Hiroshi Kashida, Ayumu Hosokawa, Hirohito Mori, Haruhiro Yamashita, Osamu Motohashi, Kazuhiko Kobayashi, Michiaki Hirayama, Hiroyuki Kobayashi, Masaki Endo, Hiroo Yamano, Kazunari Murakami, Tomoyuki Koike, Kingo Hirasawa, Youichi Miyaoka, Hidetaka Hamamoto, Takuto Hikichi, Norihiro Hanabata, Ryo Shimoda, Shinichiro Hori, Tadashi Sato, Shinya Kodashima, Hiroyuki Okada, Tomohiko Mannami, Shojiro Yamamoto, Yasumasa Niwa, Kazuo Yashima, Satoshi Tanabe, Hiro Satoh, Fumisato Sasaki, Tetsuro Yamazato, Yoshiou Ikeda, Hogara Nishisaki, Masahiro Nakagawa, Akio Matsuda, Fumio Tamura, Hitoshi Nishiyama, Keiko Arita, Keisuke Kawasaki, Kazushige Hoppo, Masashi Oka, Shinichi Ishihara, Michita Mukasa, Hiroaki Minamino, Kenshi Yao
Background and study aim Magnifying narrow-band imaging (M-NBI) is useful for the accurate diagnosis of early gastric cancer (EGC). However, acquiring skill at M-NBI diagnosis takes substantial effort. An Internet-based e-learning system to teach endoscopic diagnosis of EGC using M-NBI has been developed. This study evaluated its effectiveness. Participants and methods This study was designed as a multicenter randomized controlled trial. We recruited endoscopists as participants from all over Japan. After completing Test 1, which consisted of M-NBI images of 40 gastric lesions, participants were randomly assigned to the e-learning or non-e-learning groups...
June 21, 2017: Endoscopy
https://www.readbyqxmd.com/read/28636444/a-highly-infectious-disease-care-network-in-the-us-healthcare-system
#2
Aurora B Le, Paul D Biddinger, Philip W Smith, Jocelyn J Herstein, Deborah A Levy, Shawn G Gibbs, John J Lowe
During the 2014-15 Ebola outbreak in West Africa, the United States responded by stratifying hospitals into 1 of 3 Centers for Disease Control and Prevention (CDC)-designated categories-based on the hospital's ability to identify, isolate, assess, and provide care to patients with suspected or confirmed Ebola virus disease (EVD)-in an attempt to position the US healthcare system to safely isolate and care for potential patients. Now, with the Ebola epidemic quelled, it is crucial that we act on the lessons learned from the EVD response to broaden our national perspective on infectious disease mitigation and management, build on our newly enhanced healthcare capabilities to respond to infectious disease threats, develop a more cost-effective and sustainable model of infectious disease prevention, and continue to foster training so that the nation is not in a vulnerable position once more...
May 2017: Health Security
https://www.readbyqxmd.com/read/28636443/personal-protective-equipment-supply-chain-lessons-learned-from-recent-public-health-emergency-responses
#3
Anita Patel, Maryann M D'Alessandro, Karen J Ireland, W Greg Burel, Elaine B Wencil, Sonja A Rasmussen
Personal protective equipment (PPE) that protects healthcare workers from infection is a critical component of infection control strategies in healthcare settings. During a public health emergency response, protecting healthcare workers from infectious disease is essential, given that they provide clinical care to those who fall ill, have a high risk of exposure, and need to be assured of occupational safety. Like most goods in the United States, the PPE market supply is based on demand. The US PPE supply chain has minimal ability to rapidly surge production, resulting in challenges to meeting large unexpected increases in demand that might occur during a public health emergency...
May 2017: Health Security
https://www.readbyqxmd.com/read/28635496/internet-based-peer-support-for-m%C3%A3-ni%C3%A3-re-s-disease-a-summary-of-web-based-data-collection-impact-evaluation-and-user-evaluation
#4
Ilmari Pyykkő, Vinaya Manchaiah, Hilla Levo, Erna Kentala, Martti Juhola
OBJECTIVE: This paper presents a summary of web-based data collection, impact evaluation, and user evaluations of an Internet-based peer support program for Ménière's disease (MD). DESIGN: The program is written in html-form. The data are stored in a MySQL database and uses machine learning in the diagnosis of MD. The program works interactively with the user and assesses the participant's disorder profile in various dimensions (i.e., symptoms, impact, personal traits, and positive attitude)...
February 9, 2017: International Journal of Audiology
https://www.readbyqxmd.com/read/28634632/can-a-virtual-reality-surgical-simulation-training-provide-a-self-driven-and-mentor-free-skills-learning-investigation-of-the-practical-influence-of-the-performance-metrics-from-the-virtual-reality-robotic-surgery-simulator-on-the-skill-learning-and-associated
#5
Gyusung I Lee, Mija R Lee
BACKGROUND: While it is often claimed that virtual reality (VR) training system can offer self-directed and mentor-free skill learning using the system's performance metrics (PM), no studies have yet provided evidence-based confirmation. This experimental study investigated what extent to which trainees achieved their self-learning with a current VR simulator and whether additional mentoring improved skill learning, skill transfer and cognitive workloads in robotic surgery simulation training...
June 20, 2017: Surgical Endoscopy
https://www.readbyqxmd.com/read/28634619/implementation-of-li-rads-into-a-radiological-practice
#6
REVIEW
Stefan T Siedlikowski, Ania Z Kielar, Eleanor L Ormsby, Bijan Bijan, Christopher Kagay
Since its introduction in 2011, Liver Imaging Reporting and Data System (LI-RADS) has become an increasingly utilized method for radiologists to categorize lesions for hepatocellular carcinoma (HCC) in patients at risk (American College of Radiology, www.acr.org/quality-safety/resources/lirads 2016). This overview article presents insight into methods of incorporating LI-RADS into an existing clinical practice, highlighting concrete ways to establish this system as a mainstay in any radiologist's evidence-based armamentarium...
June 20, 2017: Abdominal Radiology
https://www.readbyqxmd.com/read/28634156/classifying-chinese-questions-related-to-health-care-posted-by-consumers-via-the-internet
#7
Haihong Guo, Xu Na, Li Hou, Jiao Li
BACKGROUND: In question answering (QA) system development, question classification is crucial for identifying information needs and improving the accuracy of returned answers. Although the questions are domain-specific, they are asked by non-professionals, making the question classification task more challenging. OBJECTIVE: This study aimed to classify health care-related questions posted by the general public (Chinese speakers) on the Internet. METHODS: A topic-based classification schema for health-related questions was built by manually annotating randomly selected questions...
June 20, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28634041/a-machine-learning-algorithm-toward-color-analysis-for-chronic-liver-disease-classification-employing-ultrasound-shear-wave-elastography
#8
Ilias Gatos, Stavros Tsantis, Stavros Spiliopoulos, Dimitris Karnabatidis, Ioannis Theotokas, Pavlos Zoumpoulis, Thanasis Loupas, John D Hazle, George C Kagadis
The purpose of the present study was to employ a computer-aided diagnosis system that classifies chronic liver disease (CLD) using ultrasound shear wave elastography (SWE) imaging, with a stiffness value-clustering and machine-learning algorithm. A clinical data set of 126 patients (56 healthy controls, 70 with CLD) was analyzed. First, an RGB-to-stiffness inverse mapping technique was employed. A five-cluster segmentation was then performed associating corresponding different-color regions with certain stiffness value ranges acquired from the SWE manufacturer-provided color bar...
June 17, 2017: Ultrasound in Medicine & Biology
https://www.readbyqxmd.com/read/28632779/base-rate-sensitivity-through-implicit-learning
#9
Andrew J Wismer, Corey J Bohil
Two experiments assessed the contributions of implicit and explicit learning to base-rate sensitivity. Using a factorial design that included both implicit and explicit learning disruptions, we tested the hypothesis that implicit learning underlies base-rate sensitivity from experience (and that explicit learning contributes comparatively little). Participants learned to classify two categories of simple stimuli (bar graph heights) presented in a 3:1 base-rate ratio. Participants learned either from "observational" training to disrupt implicit learning or "response" training which supports implicit learning...
2017: PloS One
https://www.readbyqxmd.com/read/28632737/supervised-filters-for-eeg-signal-in-naturally-occurring-epilepsy-forecasting
#10
Francisco Javier Muñoz-Almaraz, Francisco Zamora-Martínez, Paloma Botella-Rocamora, Juan Pardo
Nearly 1% of the global population has Epilepsy. Forecasting epileptic seizures with an acceptable confidence level, could improve the disease treatment and thus the lifestyle of the people who suffer it. To do that the electroencephalogram (EEG) signal is usually studied through spectral power band filtering, but this paper proposes an alternative novel method of preprocessing the EEG signal based on supervised filters. Such filters have been employed in a machine learning algorithm, such as the K-Nearest Neighbor (KNN), to improve the prediction of seizures...
2017: PloS One
https://www.readbyqxmd.com/read/28632018/exploring-the-learnability-and-usability-of-a-near-field-communication-based-application-for-semantic-enrichment-in-children-with-language-disorders
#11
Maria Luisa Lorusso, Emilia Biffi, Massimo Molteni, Gianluigi Reni
Recently, a few software applications (apps) have been developed to enhance vocabulary and conceptual networks to address the needs of children with language impairments (LI), but there is no evidence about their impact and their usability in therapy contexts. Here, we try to fill this gap presenting a system aimed at improving the semantic competence and the structural knowledge of children with LI. The goal of the study is to evaluate learnability, usability, user satisfaction and quality of the interaction between the system and the children...
February 13, 2017: Assistive Technology: the Official Journal of RESNA
https://www.readbyqxmd.com/read/28632010/designing-a-national-longitudinal-faculty-development-curriculum-focused-on-educational-scholarship-process-outcomes-and-lessons-learned
#12
Latha Chandran, Maryellen E Gusic, J Lindsey Lane, Constance D Baldwin
PROBLEM: Clinical educators at U.S. academic health centers are frequently disadvantaged in the academic promotion system, lacking needed faculty development, mentoring, and networking support. INTERVENTION: In 2006, we implemented the national Educational Scholars Program to offer faculty development in educational scholarship for early career educators in pediatrics. We aimed to provide them with skills, experience, and initial success in educational scholarship and dissemination...
March 2, 2017: Teaching and Learning in Medicine
https://www.readbyqxmd.com/read/28631139/a-systematic-review-of-wearable-patient-monitoring-systems-current-challenges-and-opportunities-for-clinical-adoption
#13
Mirza Mansoor Baig, Hamid GholamHosseini, Aasia A Moqeem, Farhaan Mirza, Maria Lindén
The aim of this review is to investigate barriers and challenges of wearable patient monitoring (WPM) solutions adopted by clinicians in acute, as well as in community, care settings. Currently, healthcare providers are coping with ever-growing healthcare challenges including an ageing population, chronic diseases, the cost of hospitalization, and the risk of medical errors. WPM systems are a potential solution for addressing some of these challenges by enabling advanced sensors, wearable technology, and secure and effective communication platforms between the clinicians and patients...
July 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/28628860/in-silico-modeling-on-adme-properties-of-natural-products-classification-models-for-blood-brain-barrier-permeability-its-application-to-traditional-chinese-medicine-and-in-vitro-experimental-validation
#14
Xiuqing Zhang, Ting Liu, Xiaohui Fan, Ni Ai
In silico modeling of blood-brain barrier (BBB) permeability plays an important role in early discovery of central nervous system (CNS) drugs due to its high-throughput and cost-effectiveness. Natural products (NP) have demonstrated considerable therapeutic efficacy against several CNS diseases. However, BBB permeation property of NP is scarcely evaluated both experimentally and computationally. It is well accepted that significant difference in chemical spaces exists between NP and synthetic drugs, which calls into doubt on suitability of available synthetic chemical based BBB permeability models for the evaluation of NP...
June 7, 2017: Journal of Molecular Graphics & Modelling
https://www.readbyqxmd.com/read/28628630/bird-sound-spectrogram-decomposition-through-non-negative-matrix-factorization-for-the-acoustic-classification-of-bird-species
#15
Jimmy Ludeña-Choez, Raisa Quispe-Soncco, Ascensión Gallardo-Antolín
Feature extraction for Acoustic Bird Species Classification (ABSC) tasks has traditionally been based on parametric representations that were specifically developed for speech signals, such as Mel Frequency Cepstral Coefficients (MFCC). However, the discrimination capabilities of these features for ABSC could be enhanced by accounting for the vocal production mechanisms of birds, and, in particular, the spectro-temporal structure of bird sounds. In this paper, a new front-end for ABSC is proposed that incorporates this specific information through the non-negative decomposition of bird sound spectrograms...
2017: PloS One
https://www.readbyqxmd.com/read/28628592/genetic-variation-and-neuroplasticity-role-in-rehabilitation-after-stroke
#16
Jill Campbell Stewart, Steven C Cramer
BACKGROUND AND PURPOSE: In many neurologic diagnoses, significant interindividual variability exists in the outcomes of rehabilitation. One factor that may impact response to rehabilitation interventions is genetic variation. Genetic variation refers to the presence of differences in the DNA sequence among individuals in a population. Genetic polymorphisms are variations that occur relatively commonly and, while not disease-causing, can impact the function of biological systems. The purpose of this article is to describe genetic polymorphisms that may impact neuroplasticity, motor learning, and recovery after stroke...
July 2017: Journal of Neurologic Physical Therapy: JNPT
https://www.readbyqxmd.com/read/28628584/distributed-data-networks-that-support-public-health-information-needs
#17
David C Tabano, Elizabeth Cole, Erin Holve, Arthur J Davidson
INTRODUCTION: Data networks, consisting of pooled electronic health data assets from health care providers serving different patient populations, promote data sharing, population and disease monitoring, and methods to assess interventions. Better understanding of data networks, and their capacity to support public health objectives, will help foster partnerships, expand resources, and grow learning health systems. METHODS: We conducted semistructured interviews with 16 key informants across the United States, identified as network stakeholders based on their respective experience in advancing health information technology and network functionality...
June 16, 2017: Journal of Public Health Management and Practice: JPHMP
https://www.readbyqxmd.com/read/28628583/improving-hypertension-control-population-wide-in-minnesota
#18
Kathryn Foti, John Auerbach, Sanne Magnan
CONTEXT: Hypertension is a common and costly risk factor for cardiovascular disease, but just over half of all adults with hypertension have their blood pressure controlled nationally. In Minneapolis-St Paul, Minnesota, the rate of hypertension control is approximately 70% despite a rate of hypertension control similar to the national average as recently as the first half of the 1990s. OBJECTIVE: The purposes of this study were to identify factors in Minneapolis-St Paul and state-level policies and programs in Minnesota that may have contributed to the more rapid increase in blood pressure control there than that in the rest of the nation and to identify factors that can potentially be replicated in other jurisdictions...
June 16, 2017: Journal of Public Health Management and Practice: JPHMP
https://www.readbyqxmd.com/read/28628367/learning-to-spell-phonology-and-beyond
#19
Rebecca Treiman
An understanding of the nature of writing systems and of the typical course of spelling development is an essential foundation for understanding the problems of children who have serious difficulties in learning to spell. The present article seeks to provide that foundation. It argues that the dual-route models of spelling that underlie much existing research and practice are based on overly simple assumptions about how writing systems work and about how spelling skills develop. Many writing systems include not only context-free links from phonemes to letters but also context-sensitive phonological patterns, morphological influences, and graphotactic patterns...
June 19, 2017: Cognitive Neuropsychology
https://www.readbyqxmd.com/read/28627920/reliability-and-validity-of-a-spanish-language-assessment-of-children-s-social-emotional-learning-skills
#20
Jaclyn M Russo, Clark McKown, Nicole M Russo-Ponsaran, Adelaide Allen
Few Spanish language tools are available for assessing important social-emotional learning (SEL) skills. The present study presents evidence of the psychometric properties of a Spanish-language version of SELweb (SELweb-S), a web-based system for assessing children's ability to recognize others' emotions and perspectives, solve social problems, and engage in self-control. With a sample of 524 students in Grades K to 3, we examined the reliability and validity of SELweb-S. This study provided evidence that (a) individual assessment modules exhibited moderate to high internal consistency and moderate 6-month temporal stability, (b) composite assessment scores exhibited high reliability, (c) assessment module scores fit a theoretically coherent factor structure, and (d) performance on SELweb-S assessment modules was positively related to teacher-reported SEL skills...
June 19, 2017: Psychological Assessment
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