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https://www.readbyqxmd.com/read/29667255/nonvolatile-memory-materials-for-neuromorphic-intelligent-machines
#1
REVIEW
Doo Seok Jeong, Cheol Seong Hwang
Recent progress in deep learning extends the capability of artificial intelligence to various practical tasks, making the deep neural network (DNN) an extremely versatile hypothesis. While such DNN is virtually built on contemporary data centers of the von Neumann architecture, physical (in part) DNN of non-von Neumann architecture, also known as neuromorphic computing, can remarkably improve learning and inference efficiency. Particularly, resistance-based nonvolatile random access memory (NVRAM) highlights its handy and efficient application to the multiply-accumulate (MAC) operation in an analog manner...
April 18, 2018: Advanced Materials
https://www.readbyqxmd.com/read/29667050/improving-and-monitoring-air-quality
#2
André DuPont
Since the authorization of the Clean Air Act Amendments of 1990, the air quality in the USA has significantly improved because of strong public support. The lessons learned over the last 25 years are being shared with the policy analysts, technical professionals, and scientist who endeavor to improve air quality in their communities. This paper will review how the USA has achieved the "high" standard of air quality that was envisioned in the early 1990s. This document will describe SO2 gas emission reduction technology and highlight operation of emission monitoring technology...
April 17, 2018: Environmental Science and Pollution Research International
https://www.readbyqxmd.com/read/29665537/mass-detection-in-digital-breast-tomosynthesis-data-using-convolutional-neural-networks-and-multiple-instance-learning
#3
Mina Yousefi, Adam Krzyżak, Ching Y Suen
Digital breast tomosynthesis (DBT) was developed in the field of breast cancer screening as a new tomographic technique to minimize the limitations of conventional digital mammography breast screening methods. A computer-aided detection (CAD) framework for mass detection in DBT has been developed and is described in this paper. The proposed framework operates on a set of two-dimensional (2D) slices. With plane-to-plane analysis on corresponding 2D slices from each DBT, it automatically learns complex patterns of 2D slices through a deep convolutional neural network (DCNN)...
April 12, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29665124/how-does-dementia-with-lewy-bodies-start-prodromal-cognitive-changes-in-rem-sleep-behavior-disorder
#4
Daphné Génier Marchand, Ronald B Postuma, Frédérique Escudier, Jessie De Roy, Amélie Pelletier, Jacques Montplaisir, Jean-François Gagnon
Objective We describe the progression of cognitive decline and identify the predictive values of cognitive tests in three groups of REM sleep behavior disorder (RBD) patients classified at their last follow-up as having Parkinson's disease (PD), dementia with Lewy bodies (DLB), or still-idiopathic. Methods Patients (n=109) underwent polysomnographic, neurological, and neuropsychological assessments. We used linear mixed-model analyses to compare the progression of cognitive test performance between the three groups over a three-year prodromal period, and performed linear regressions for a six-year prodromal period...
April 17, 2018: Annals of Neurology
https://www.readbyqxmd.com/read/29663595/adult-neurogenesis-affects-motivation-to-obtain-weak-but-not-strong-reward-in-operant-tasks
#5
Rose-Marie Karlsson, Alice S Wang, Anup N Sonti, Heather A Cameron
Decreased motivation to seek rewards is a key feature of mood disorders that correlates with severity and treatment outcome. This anhedonia, or apathy, likely reflects impairment in reward circuitry, but the specific neuronal populations controlling motivation are unclear. Granule neurons generated in the adult hippocampus have been implicated in mood disorders, but are not generally considered as part of reward circuits. We investigated a possible role of these new neurons in motivation to work for food and sucrose rewards in operant conditioning tasks using GFAP-TK pharmacogenetic ablation of adult neurogenesis in both rats and mice...
April 16, 2018: Hippocampus
https://www.readbyqxmd.com/read/29663562/atrial-fibrillation-ablation-using-cryoballoon-technology-recent-advances-and-practical-techniques
#6
REVIEW
Shaojie Chen, Boris Schmidt, Stefano Bordignon, Fabrizio Bologna, Laura Perrotta, Takahiko Nagase, K R Julian Chun
Atrial fibrillation (AF) affects 1-2% of the population, and its prevalence is estimated to double in the next 50 years as the population ages. AF results in impaired patients' life quality, deteriorated cardiac function and even increased mortality. Antiarrhythmic drugs frequently fail to restore sinus rhythm. Catheter ablation is a valuable treatment approach for AF, even as a first-line therapy strategy in selected patients. Effective electrical pulmonary vein isolation (PVI) is the cornerstone of all AF ablation strategies...
April 16, 2018: Journal of Cardiovascular Electrophysiology
https://www.readbyqxmd.com/read/29663399/multidimensional-analyses-of-the-learning-curve-for-single-incision-plus-one-port-laparoscopic-surgery-for-sigmoid-colon-and-upper-rectal-cancer
#7
Junmeng Li, Yanan Wang, Dong Liu, Haipeng Zhou, Tingyu Mou, Guoxin Li, Haijun Deng
BACKGROUND AND OBJECTIVES: Single-incision plus one port surgery (SILS + 1) provides the advantages of being minimally invasive and easier to perform than pure single-incision laparoscopic surgery. The aim of this study was to investigate the learning curve (LC) for SILS + 1 for sigmoid colon and upper rectal cancer. METHOD: From November 2012 to May 2014, a series of 85 consecutive patients underwent selective SLIS + 1 for sigmoid colon and upper rectal cancer performed by a single surgeon at Nanfang Hospital...
April 17, 2018: Journal of Surgical Oncology
https://www.readbyqxmd.com/read/29663275/a-multiple-perspective-approach-for-the-assessment-and-learning-of-ultrasound-skills
#8
Martin Grønnebæk Tolsgaard
Ultrasound has become a core skill in many specialties. We evaluated the learning and assessment of ultrasound skills in Obstetrics-Gynaecology in a series of eight studies. In the clinical setting, we found that trainees as well as experienced clinicians struggle with technical aspects of performance such as image optimization. We examined how to improve these aspects of performance in the simulated setting by determining mastery learning levels and exploring learning curves for novices. We then examined how to improve the efficiency of training as well as transfer of learning through the use of dyad practice as compared with single practice...
April 16, 2018: Perspectives on Medical Education
https://www.readbyqxmd.com/read/29661634/assessing-patient-risk-of-central-line-associated-bacteremia-via-machine-learning
#9
Cole Beeler, Lana Dbeibo, Kristen Kelley, Levi Thatcher, Douglas Webb, Amadou Bah, Patrick Monahan, Nicole R Fowler, Spencer Nicol, Alisa Judy-Malcolm, Jose Azar
BACKGROUND: Central line-associated bloodstream infections (CLABSIs) contribute to increased morbidity, length of hospital stay, and cost. Despite progress in understanding the risk factors, there remains a need to accurately predict the risk of CLABSIs and, in real time, prevent them from occurring. METHODS: A predictive model was developed using retrospective data from a large academic healthcare system. Models were developed with machine learning via construction of random forests using validated input variables...
April 13, 2018: American Journal of Infection Control
https://www.readbyqxmd.com/read/29661210/use-of-a-life-size-three-dimensional-printed-spine-model-for-pedicle-screw-instrumentation-training
#10
Hyun Jin Park, Chenyu Wang, Kyung Ho Choi, Hyong Nyun Kim
BACKGROUND: Training beginners of the pedicle screw instrumentation technique in the operating room is limited because of issues related to patient safety and surgical efficiency. Three-dimensional (3D) printing enables training or simulation surgery on a real-size replica of deformed spine, which is difficult to perform in the usual cadaver or surrogate plastic models. The purpose of this study was to evaluate the educational effect of using a real-size 3D-printed spine model for training beginners of the free-hand pedicle screw instrumentation technique...
April 16, 2018: Journal of Orthopaedic Surgery and Research
https://www.readbyqxmd.com/read/29659067/computer-aided-diagnosis-of-prostate-cancer-using-a-deep-convolutional-neural-network-from-multiparametric-mri
#11
Yang Song, Yu-Dong Zhang, Xu Yan, Hui Liu, Minxiong Zhou, Bingwen Hu, Guang Yang
BACKGROUND: Deep learning is the most promising methodology for automatic computer-aided diagnosis of prostate cancer (PCa) with multiparametric MRI (mp-MRI). PURPOSE: To develop an automatic approach based on deep convolutional neural network (DCNN) to classify PCa and noncancerous tissues (NC) with mp-MRI. STUDY TYPE: Retrospective. SUBJECTS: In all, 195 patients with localized PCa were collected from a PROSTATEx database...
April 16, 2018: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29658681/laparoscopic-radical-prostatectomy-in-2018-20-years-of-worldwide-experiences-experimentations-researches-and-refinements
#12
Aldo Brassetti, Renaud Bollens
INTRODUCTION: After the first feasibility report in 1997, a growing interest has risen in the urologic community for laparoscopic radical prostatectomy (LRP) and several authors have contributed to the evolution of the technique. We attempt a review of the available evidences and provide a broad framework of different technical refinements considering their impact on pentafecta. EVIDENCE ACQUISITION: The PubMed/Medline database was searched. Duplicates and "Expert opinion" papers were removed...
April 13, 2018: Minerva Chirurgica
https://www.readbyqxmd.com/read/29657459/stress-radiographs-for-evaluating-acromioclavicular-joint-separations-in-an-active-duty-patient-population-what-have-we-learned
#13
K Aaron Shaw, John Synovec, Josef Eichinger, Christopher J Tucker, Jason A Grassbaugh, Stephen A Parada
Introduction: Acromioclavicular (AC) joint separation is a common entity in athletic patient populations. The surgical treatment of these injuries varies based upon extent of injury, with numerous imaging modalities recommended to differentiate injury severity and treatment options. The use of weighted stress radiographs is controversial in the diagnostic evaluation of AC separation with previous consensus recommending against their use. No study to date has investigated the clinical utilization of diagnostic studies in the evaluation of AC joint separations in a military surgeon population...
March 2018: Journal of Orthopaedics
https://www.readbyqxmd.com/read/29656709/envisioning-transformation-in-va-mental-health-services-through-collaborative-site-visits
#14
Lisa K Kearney, Jeanne A Schaefer, Katherine M Dollar, Gayle Y Iwamasa, Ira Katz, Theresa Schmitz, Mary Schohn, Sandra G Resnick
This column reviews the unique contributions of multiple partners in establishing a standardized site visit process to promote quality improvement in mental health care at the Veterans Health Administration. Working as a team, leaders in policy and operations, staff of research centers, and regional- and facility-level mental health leaders developed a standardized protocol for evaluating mental health services at each site and using the data to help implement policy goals. The authors discuss the challenges experienced and lessons learned in this systemwide process and how this information can be part of a framework for improving mental health services on a national level...
April 16, 2018: Psychiatric Services: a Journal of the American Psychiatric Association
https://www.readbyqxmd.com/read/29655946/big-data-handling-mechanisms-in-the-healthcare-applications-a-comprehensive-and-systematic-literature-review
#15
REVIEW
Asma Pashazadeh, Nima Jafari Navimipour
Healthcare provides many services such as diagnosing, treatment, prevention of diseases, illnesses, injuries, and other physical and mental disorders. Large-scale distributed data processing applications in healthcare as a basic concept operates on large amounts of data. Therefore, big data application functions are the main part of healthcare operations, but there was not any comprehensive and systematic survey about studying and evaluating the important techniques in this field. Therefore, this paper aims at providing the comprehensive, detailed, and systematic study of the state-of-the-art mechanisms in the big data related to healthcare applications in five categories, including machine learning, cloud-based, heuristic-based, agent-based, and hybrid mechanisms...
April 12, 2018: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/29655883/evaluating-surgical-coaching-a-mixed-methods-approach-reveals-more-than-surveys-alone
#16
Laura M Mazer, Yue-Yung Hu, Alexander F Arriaga, Caprice C Greenberg, Stuart R Lipsitz, Atul A Gawande, Douglas S Smink, Steven J Yule
OBJECTIVE: Traditionally, surgical educators have relied upon participant survey data for the evaluation of educational interventions. However, the ability of such subjective data to completely evaluate an intervention is limited. Our objective was to compare resident and attending surgeons' self-assessments of coaching sessions from surveys with independent observations from analysis of intraoperative and postoperative coaching transcripts. DESIGN: Senior residents were video-recorded operating...
April 11, 2018: Journal of Surgical Education
https://www.readbyqxmd.com/read/29653308/methodological-evolution-and-frontiers-of-identifying-modeling-and-preventing-secondary-crashes-on-highways
#17
Hong Yang, Zhenyu Wang, Kun Xie, Kaan Ozbay, Marianna Imprialou
Secondary crashes (SCs) or crashes that occur within the boundaries of the impact area of prior, primary crashes are one of the incident types that frequently affect highway traffic operations and safety. Existing studies have made great efforts to explore the underlying mechanisms of SCs and relevant methodologies have been evolving over the last two decades concerning the identification, modeling, and prevention of these crashes. So far there is a lack of a detailed examination on the progress, lessons, and potential opportunities regarding existing achievements in SC-related studies...
April 10, 2018: Accident; Analysis and Prevention
https://www.readbyqxmd.com/read/29652581/a-learning-framework-for-winner-take-all-networks-with-stochastic-synapses
#18
Hesham Mostafa, Gert Cauwenberghs
Many recent generative models make use of neural networks to transform the probability distribution of a simple low-dimensional noise process into the complex distribution of the data. This raises the question of whether biological networks operate along similar principles to implement a probabilistic model of the environment through transformations of intrinsic noise processes. The intrinsic neural and synaptic noise processes in biological networks, however, are quite different from the noise processes used in current abstract generative networks...
April 13, 2018: Neural Computation
https://www.readbyqxmd.com/read/29651714/learning-based-endovascular-navigation-through-the-use-of-non-rigid-registration-for-collaborative-robotic-catheterization
#19
Wenqiang Chi, Jindong Liu, Hedyeh Rafii-Tari, Celia Riga, Colin Bicknell, Guang-Zhong Yang
PURPOSE: Endovascular intervention is limited by two-dimensional intraoperative imaging and prolonged procedure times in the presence of complex anatomies. Robotic catheter technology could offer benefits such as reduced radiation exposure to the clinician and improved intravascular navigation. Incorporating three-dimensional preoperative imaging into a semiautonomous robotic catheterization platform has the potential for safer and more precise navigation. This paper discusses a semiautonomous robotic catheter platform based on previous work (Rafii-Tari et al...
April 12, 2018: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/29651593/cervical-pedicle-screw-instrumentation-is-more-reliable-with-o-arm-based-3d-navigation-analysis-of-cervical-pedicle-screw-placement-accuracy-with-o-arm-based-3d-navigation
#20
Sourabh Chachan, Hamid Ramatullah Bin Abd Razak, Wee Lim Loo, John Carson Allen, Dinesh Shree Kumar
PURPOSE: Despite proven biomechanical superiority and resultant superior clinical outcomes, pedicle instrumentation in cervical spine is not widely practiced due to technical difficulties, steep learning curve, and possible potential catastrophic complications due to screw misplacement. This study was undertaken with the purpose to evaluate the feasibility, accuracy, and complications of cervical pedicle screw instrumentation solely using O-arm-based 3D navigation technology. METHODS: Prospectively maintained data from a single-surgeon case series were retrospectively analyzed...
April 12, 2018: European Spine Journal
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