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https://www.readbyqxmd.com/read/28526512/privacy-trainee-rights-and-accountability-in-radiology-education
#1
REVIEW
Cory M Pfeifer
RATIONALE AND OBJECTIVES: Academic radiologists commonly hold multiple simultaneous roles within the landscape of physician training. This paper analyzes theoretical scenarios describing relationships between medical students, residents, and physician educators in radiology. MATERIALS AND METHODS: The scenarios presented involve medical student supervision, radiology resident recruitment, and resident termination with respect to relevant ethical, regulatory, and legal considerations...
March 28, 2017: Academic Radiology
https://www.readbyqxmd.com/read/28526308/implementing-an-electronic-hand-hygiene-monitoring-system-lessons-learned-from-community-hospitals
#2
Catherine Edmisten, Charles Hall, Lorna Kernizan, Kimberly Korwek, Aaron Preston, Evan Rhoades, Shalin Shah, Lori Spight, Silvia Stradi, Sonia Wellman, Scott Zygadlo
BACKGROUND: Measuring and providing feedback about hand hygiene (HH) compliance is a complicated process. Electronic HH monitoring systems have been proposed as a possible solution; however, there is little information available about how to successfully implement and maintain these systems for maximum benefit in community hospitals. METHODS: An electronic HH monitoring system was implemented in 3 community hospitals by teams at each facility with support from the system vendor...
May 16, 2017: American Journal of Infection Control
https://www.readbyqxmd.com/read/28526212/3d-deeply-supervised-network-for-automated-segmentation-of-volumetric-medical-images
#3
Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng
While deep convolutional neural networks (CNNs) have achieved remarkable success in 2D medical image segmentation, it is still a difficult task for CNNs to segment important organs or structures from 3D medical images owing to several mutually affected challenges, including the complicated anatomical environments in volumetric images, optimization difficulties of 3D networks and inadequacy of training samples. In this paper, we present a novel and efficient 3D fully convolutional network equipped with a 3D deep supervision mechanism to comprehensively address these challenges; we call it 3D DSN...
May 8, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28526022/a-descriptive-cross-sectional-study-of-medical-student-preferences-for-vodcast-design-format-and-pedagogical-approach
#4
Robin K Pettit, Marjorie Kinney, Lise McCoy
BACKGROUND: Vodcasts (video podcasts) are becoming increasingly popular in medical education. At A.T. Still University School of Osteopathic Medicine in Arizona (ATSU SOMA), vodcasts are an essential component of our blended learning environment, where year 2-4 students train in a contextual setting at community health centers across the U.S. Vodcasts are used far less frequently in our year 1 residential learning environment at the main campus in Arizona, but we are considering moving to significantly more interactive educational experiences with on-demand videos followed by in-class activities...
May 19, 2017: BMC Medical Education
https://www.readbyqxmd.com/read/28525590/sdm-a-server-for-predicting-effects-of-mutations-on-protein-stability
#5
Arun Prasad Pandurangan, Bernardo Ochoa-Montaño, David B Ascher, Tom L Blundell
Here, we report a webserver for the improved SDM, used for predicting the effects of mutations on protein stability. As a pioneering knowledge-based approach, SDM has been highlighted as the most appropriate method to use in combination with many other approaches. We have updated the environment-specific amino-acid substitution tables based on the current expanded PDB (a 5-fold increase in information), and introduced new residue-conformation and interaction parameters, including packing density and residue depth...
May 19, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28525568/scenery-a-web-application-for-causal-network-reconstruction-from-cytometry-data
#6
Georgios Papoutsoglou, Giorgos Athineou, Vincenzo Lagani, Iordanis Xanthopoulos, Angelika Schmidt, Szabolcs Éliás, Jesper Tegnér, Ioannis Tsamardinos
Flow and mass cytometry technologies can probe proteins as biological markers in thousands of individual cells simultaneously, providing unprecedented opportunities for reconstructing networks of protein interactions through machine learning algorithms. The network reconstruction (NR) problem has been well-studied by the machine learning community. However, the potentials of available methods remain largely unknown to the cytometry community, mainly due to their intrinsic complexity and the lack of comprehensive, powerful and easy-to-use NR software implementations specific for cytometry data...
May 19, 2017: Nucleic Acids Research
https://www.readbyqxmd.com/read/28523139/an-overview-of-the-use-of-artificial-neural-networks-in-lung-cancer-research
#7
EDITORIAL
Luca Bertolaccini, Piergiorgio Solli, Alessandro Pardolesi, Antonello Pasini
The artificial neural networks (ANNs) are statistical models where the mathematical structure reproduces the biological organisation of neural cells simulating the learning dynamics of the brain. Although definitions of the term ANN could vary, the term usually refers to a neural network used for non-linear statistical data modelling. The neural models applied today in various fields of medicine, such as oncology, do not aim to be biologically realistic in detail but just efficient models for nonlinear regression or classification...
April 2017: Journal of Thoracic Disease
https://www.readbyqxmd.com/read/28522853/multitrophic-effects-of-belowground-parasitoid-learning
#8
Denis S Willett, Hans T Alborn, Lukasz L Stelinski
The ability to learn allows organisms to take advantage of dynamic and ephemeral opportunities in their environment. Here we show that learning in belowground entomopathogenic nematodes has cascading multitrophic effects on their hosts, other nematodes, and nematophagous fungal predators. In addition to quantifying these effects, we show that social behavioral plasticity in these belowground parasitoids can amplify signaling by plant defense pathways and results in an almost doubling of insect herbivore infection by entomopathogenic nematodes...
May 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28522360/sex-with-no-regrets-how-sexual-reproduction-uses-a-no-regret-learning-algorithm-for-evolutionary-advantage
#9
Omer Edhan, Ziv Hellman, Dana Sherill-Rofe
The question of 'why sex' has long been a puzzle. The randomness of recombination, which potentially produces low fitness progeny, contradicts notions of fitness landscape hill climbing. We use the concept of evolution as an algorithm for learning unpredictable environments to provide a possible answer. While sex and asex both implement similar machine learning no-regret algorithms in the context of random samples that are small relative to a vast genotype space, the algorithm of sex constitutes a more efficient goal-directed walk through this space...
May 15, 2017: Journal of Theoretical Biology
https://www.readbyqxmd.com/read/28521559/the-effectiveness-of-the-internship-in-meeting-established-learning-objectives-a-qualitative-study
#10
Susannah Ahern, Katharine Reid, Meredith Temple-Smith, Geoffrey J McColl
OBJECTIVE: To identify and explore variations in intern (Postgraduate Year 1 doctors) exposure to clinical activities defined by an established early postgraduate curriculum within the contemporary health service environment. METHODS: A mixed methods study was undertaken in seven health services comprising (1) a questionnaire regarding interns' exposure to a range of clinical activities within a two-year early post-graduate curriculum and (2) group interviews with intern supervisors and managers to explore barriers and facilitators of interns' clinical exposure...
May 18, 2017: Medical Teacher
https://www.readbyqxmd.com/read/28521248/designing-and-evaluating-the-effectiveness-of-a-serious-game-for-safe-administration-of-blood-transfusion-a-randomized-controlled-trial
#11
Apphia Jia Qi Tan, Cindy Ching Siang Lee, Patrick Yongxing Lin, Simon Cooper, Lydia Siew Tiang Lau, Wei Ling Chua, Sok Ying Liaw
BACKGROUND: Preparing nursing students for the knowledge and skills required for the administration and monitoring of blood components is crucial for entry into clinical practice. Serious games create opportunities to develop this competency, which can be used as a self-directed learning strategy to complement existing didactic learning and simulation-based strategies. AIM: To describe the development and evaluation of a serious game to improve nursing students' knowledge, confidence, and performance in blood transfusion...
May 6, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/28516341/fairness-the-hidden-challenge-for-competency-based-postgraduate-medical-education-programs
#12
Colleen Y Colbert, Judith C French, Mary Elizabeth Herring, Elaine F Dannefer
Competency-based medical education systems allow institutions to individualize teaching practices to meet the needs of diverse learners. Yet, the focus on continuous improvement and individualization of curricula does not exempt programs from treating learners in a fair manner. When learners fail to meet key competencies and are placed on probation or dismissed from training programs, issues of fairness may form the basis of their legal claims. In a literature search, we found no in-depth examination of fairness...
May 17, 2017: Perspectives on Medical Education
https://www.readbyqxmd.com/read/28516139/dataset-of-two-experiments-of-the-application-of-gamified-peer-assessment-model-into-online-learning-environment-meututor
#13
Thyago Tenório, Ig Ibert Bittencourt, Seiji Isotani, Alan Pedro, Patrícia Ospina, Daniel Tenório
In this dataset, we present the collected data of two experiments with the application of the gamified peer assessment model into online learning environment MeuTutor to allow the comparison of the obtained results with others proposed models. MeuTutor is an intelligent tutoring system aims to monitor the learning of the students in a personalized way, ensuring quality education and improving the performance of its members (Tenório et al., 2016) [1]. The first experiment evaluated the effectiveness of the peer assessment model through metrics as final grade (result), time to correct the activities and associated costs...
June 2017: Data in Brief
https://www.readbyqxmd.com/read/28514909/what-can-action-learning-offer-a-beleaguered-system-a-narrative-representing-the-relationship
#14
James Traeger
Purpose This is an attempt to write an account of action learning that is as close to the ground on which it was practised as the author can make it. In that sense, the reader can read what follows below as a kind of autoethnography, a "representation as relationship" as Gergen and Gergen (2002, p. 11) call it. This is because in the opportunity of telling a story about his practice as an action learning facilitator, the author hopes to evoke that which is more akin to the contactful environment of quality action learning than any amount of abstract theorising...
May 2, 2017: Leadership in Health Services
https://www.readbyqxmd.com/read/28514890/spatial-recognition-test-a-novel-cognition-task-for-assessing-topographical-memory-in-mice
#15
Enes Havolli, Mark Dw Hill, Annie Godley, Pascal Jd Goetghebeur
Dysfunction in topographical memory is a core feature of several neurological disorders. There is a large unmet medical need to address learning and memory deficits as a whole in central nervous system disease. There are considerable efforts to identify pro-cognitive compounds but current methods are either lengthy or labour intensive. Our test used a two chamber apparatus and is based on the preference of rodents to explore novel environments. It was used firstly to assess topographical memory in mice at different retention intervals (RI) and secondly to investigate the effect of three drugs reported to be beneficial for cognitive decline associated with Alzheimer's disease, namely: donepezil, memantine and levetiracetam...
May 1, 2017: Journal of Psychopharmacology
https://www.readbyqxmd.com/read/28514230/causes-of-death-of-residents-in-acgme-accredited-programs-2000-through-2014-implications-for-the-learning-environment
#16
Nicholas A Yaghmour, Timothy P Brigham, Thomas Richter, Rebecca S Miller, Ingrid Philibert, DeWitt C Baldwin, Thomas J Nasca
PURPOSE: To systematically study the number of U.S. resident deaths from all causes, including suicide. METHOD: The more than 9,900 programs accredited by the Accreditation Council for Graduate Medical Education (ACGME) annually report the status of residents. The authors aggregated ACGME data on 381,614 residents in training during years 2000 through 2014. Names of residents reported as deceased were submitted to the National Death Index to learn causes of death...
May 9, 2017: Academic Medicine: Journal of the Association of American Medical Colleges
https://www.readbyqxmd.com/read/28511894/incorporating-simulation-into-gynecologic-surgical-training
#17
REVIEW
Kyle Wohlrab, J Eric Jelovsek, Deborah Myers
Today's educational environment has made it more difficult to rely on the Halstedian model of 'see one, do one, teach one' in gynecologic surgical training. There is decreased surgical volume, but an increased number of surgical modalities. Fortunately, surgical simulation has evolved to fill the educational void. Whether it is through skill generalization or skill transfer, surgical simulation has shifted the learning curve from the operating room back to the classroom. This article explores the principles of surgical education and ways to introduce simulation as an adjunct to residency training...
May 13, 2017: American Journal of Obstetrics and Gynecology
https://www.readbyqxmd.com/read/28511375/impact-of-nutritional-status-on-cognition-in-institutionalized-orphans-a-pilot-study
#18
Sanjana M Kamath, Kavana G Venkatappa, Ergod Manjunath Sparshadeep
INTRODUCTION: Proper nutrition is critical for maximizing brain function and enhancing learning. There is accumulating evidence that early malnutrition, marked by stunting, is associated with long-term deficits in cognitive and academic performance, even when social and psychological differences are controlled. All over the world, children living without permanent parental care are at a heightened risk for under-nutrition, putting their health and development in great jeopardy. AIM: To assess the nutritional and cognitive status in institutionalized orphans which might help to formulate effective interventions for improving the nutritional status of vulnerable children in future...
March 2017: Journal of Clinical and Diagnostic Research: JCDR
https://www.readbyqxmd.com/read/28510210/brain-connectivity-during-encoding-and-retrieval-of-spatial-information-individual-differences-in-navigation-skills
#19
Greeshma Sharma, Klaus Gramann, Sushil Chandra, Vijander Singh, Alok Prakash Mittal
Emerging evidence suggests that the variations in the ability to navigate through any real or virtual environment are accompanied by distinct underlying cortical activations in multiple regions of the brain. These activations may appear due to the use of different frame of reference (FOR) for representing an environment. The present study investigated the brain dynamics in the good and bad navigators using Graph Theoretical analysis applied to low-density electroencephalography (EEG) data. Individual navigation skills were rated according to the performance in a virtual reality (VR)-based navigation task and the effect of navigator's proclivity towards a particular FOR on the navigation performance was explored...
May 16, 2017: Brain Informatics
https://www.readbyqxmd.com/read/28508734/the-role-of-cue-utilisation-in-reducing-the-workload-in-a-train-control-task
#20
Sue Brouwers, Mark W Wiggins, Barbara Griffin, William S Helton, David O'Hare
Skilled performance has been characterised, in part, by the capacity to accurately identify and respond to patterns as cues in the environment. The outcome is a reduction in cognitive load and a greater residual capacity to undertake concurrent tasks. The present study was designed to examine the relationship between cue utilisation and temporal pattern recognition in the context of a simulated, rail control task. Sixty-one university students undertook an assessment of cue utilisation and engaged in a rail control simulation...
May 16, 2017: Ergonomics
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