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https://www.readbyqxmd.com/read/28922705/from-ancient-to-avant-garde-a-review-of-traditional-and-modern-multimodal-approaches-to-surgical-anatomy-education
#1
REVIEW
Minhao Hu, David Wattchow, Dayan de Fontgalland
The landscape of surgical anatomy education is progressively changing. Traditional methods, such as cadaveric dissection and didacticism are being increasingly phased out in undergraduate courses for multimodal approaches incorporating problem-based learning, radiology and computer-based simulations. Although effective at clinically contextualizing and integrating anatomical information, these approaches may be a poor substitute for fostering a grasp of foundational 'pure' anatomy. Dissection is ideal for this purpose and hence remains the cornerstone of anatomical education...
September 18, 2017: ANZ Journal of Surgery
https://www.readbyqxmd.com/read/28922115/colour-constancy-beyond-the-classical-receptive-field
#2
Arash Akbarinia, C Alejandro Parraga
The problem of removing illuminant variations to preserve the colours of objects (colour constancy) has already been solved by the human brain using mechanisms that rely largely on centre-surround computations of local contrast. In this paper we adopt some of these biological solutions described by long known physiological findings into a simple, fully automatic, functional model (termed Adaptive Surround Modulation or ASM). In ASM, the size of a visual neuron's receptive field (RF) as well as the relationship with its surround varies according to the local contrast within the stimulus, which in turn determines the nature of the centre-surround normalisation of cortical neurons higher up in the processing chain...
September 18, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28922113/force-based-representation-for-non-rigid-shape-and-elastic-model-estimation
#3
Antonio Agudo, Francesc Moreno-Noguer
This paper addresses the problem of simultaneously recovering 3D shape, pose and the elastic model of a deformable object from only 2D point tracks in a monocular video. This is a severely under-constrained problem that has been typically addressed by enforcing the shape or the point trajectories to lie on low-rank dimensional spaces. We show that formulating the problem in terms of a low-rank force space that induces the deformation and introducing the elastic model as an additional unknown, allows for a better physical interpretation of the resulting priors and a more accurate representation of the actual object's behavior...
September 15, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28920900/fundamental-principles-on-learning-new-features-for-effective-dense-matching
#4
Feihu Zhang, Benjamin W Wah
In dense matching (including stereo matching and optical flow), nearly all existing approaches are based on simple features, such as gray or RGB color, gradient or simple transformations like census, to calculate matching costs. These features do not perform well in complex scenes that may involve radiometric changes, noises, overexposure and/or textureless regions. Various problems may appear, such as wrong matching at the pixel or region level, flattening/breaking of edges and/or even entire structural collapse...
September 14, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28920521/implementing-evidence-based-smoking-cessation-treatment-in-psychosocial-care-units-caps-in-brazil
#5
João Mauricio Castaldelli-Maia, Nilson R da Silva, Marta Rd Campos, Helena F Moura, Gustavo Zabert, Beatriz M Champagne, Katherine E Kemper, J Taylor Hays
BACKGROUND: The prevalence of smoking among mental health and addiction (MHA) patients is 3 times higher than it is in the general population, yet this patient population has received little help to combat smoking. Considering this, psychosocial care centers (CAPS - Centros de Atenção Psicossocial) are strategic locations for integrating tobacco dependence treatment (TDT) into existing treatment activities. METHODS: Our team provided an 8-hour training package to the staff of CAPS that have not been providing specialized TDT for smokers...
September 1, 2017: International Journal of Social Psychiatry
https://www.readbyqxmd.com/read/28917073/effects-of-personality-traits-on-collaborative-performance-in-problem-based-learning-tutorials
#6
Sang Y Lee, Jin H Kim, Chang R Geum, Sung J Wu, Jin S Kim
[No Abstract Available].
October 2017: Saudi Medical Journal
https://www.readbyqxmd.com/read/28916015/evaluating-integrated-mental-health-care-programs-for-children-and-youth
#7
REVIEW
Lawrence S Wissow, Jonathan D Brown, Robert J Hilt, Barry D Sarvet
Evaluations of integrated care programs share many characteristics of evaluations of other complex health system interventions. However, evaluating integrated care for child and adolescent mental health poses special challenges that stem from the broad range of social, emotional, and developmental problems that need to be addressed; the need to integrate care for other family members; and the lack of evidence-based interventions already adapted for primary care settings. Integrated care programs for children's mental health need to adapt and learn on the fly, so that evaluations may best be viewed through the lens of continuous quality improvement rather than evaluations of fixed programs...
October 2017: Child and Adolescent Psychiatric Clinics of North America
https://www.readbyqxmd.com/read/28915822/what-hinders-the-uptake-of-computerized-decision-support-systems-in-hospitals-a-qualitative-study-and-framework-for-implementation
#8
Elisa G Liberati, Francesca Ruggiero, Laura Galuppo, Mara Gorli, Marien González-Lorenzo, Marco Maraldi, Pietro Ruggieri, Hernan Polo Friz, Giuseppe Scaratti, Koren H Kwag, Roberto Vespignani, Lorenzo Moja
BACKGROUND: Advanced Computerized Decision Support Systems (CDSSs) assist clinicians in their decision-making process, generating recommendations based on up-to-date scientific evidence. Although this technology has the potential to improve the quality of patient care, its mere provision does not guarantee uptake: even where CDSSs are available, clinicians often fail to adopt their recommendations. This study examines the barriers and facilitators to the uptake of an evidence-based CDSS as perceived by diverse health professionals in hospitals at different stages of CDSS adoption...
September 15, 2017: Implementation Science: IS
https://www.readbyqxmd.com/read/28912708/remodeling-pearson-s-correlation-for-functional-brain-network-estimation-and-autism-spectrum-disorder-identification
#9
Weikai Li, Zhengxia Wang, Limei Zhang, Lishan Qiao, Dinggang Shen
Functional brain network (FBN) has been becoming an increasingly important way to model the statistical dependence among neural time courses of brain, and provides effective imaging biomarkers for diagnosis of some neurological or psychological disorders. Currently, Pearson's Correlation (PC) is the simplest and most widely-used method in constructing FBNs. Despite its advantages in statistical meaning and calculated performance, the PC tends to result in a FBN with dense connections. Therefore, in practice, the PC-based FBN needs to be sparsified by removing weak (potential noisy) connections...
2017: Frontiers in Neuroinformatics
https://www.readbyqxmd.com/read/28911905/gaussian-process-classification-of-superparamagnetic-relaxometry-data-phantom-study
#10
Javad Sovizi, Kelsey B Mathieu, Sara L Thrower, Wolfgang Stefan, John D Hazle, David Fuentes
MOTIVATION: Superparamagnetic relaxometry (SPMR) is an emerging technology that holds potential for use in early cancer detection. Measurement of the magnetic field after the excitation of cancer-bound superparamagnetic iron oxide nanoparticles (SPIONs) enables the reconstruction of SPIONs spatial distribution and hence tumor detection. However, image reconstruction often requires solving an ill-posed inverse problem that is computationally challenging and sensitive to measurement uncertainty...
July 24, 2017: Artificial Intelligence in Medicine
https://www.readbyqxmd.com/read/28910768/example-based-image-synthesis-via-randomized-patch-matching
#11
Yi Ren, Yaniv Romano, Michael Elad
Image and texture synthesis is a challenging task that has long been drawing attention in the fields of image processing, graphics, and machine learning. This problem consists of modelling the desired type of images, either through training examples or via a parametric modeling, and then generating images that belong to the same statistical origin. This work addresses the image synthesis task, focusing on two specific families of images - handwritten digits and face images. This paper offers two main contributions...
September 8, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28910763/feature-augmentation-for-learning-confidence-measure-in-stereo-matching
#12
Sunok Kim, Dongbo Min, Seungryong Kim, Kwanghoon Sohn
Confidence estimation is essential for refining stereo matching results through a post-processing step. This problem has recently been studied using a learning-based approach, which demonstrates a substantial improvement on conventional simple non-learning based methods. However, the formulation of learning-based methods that individually estimates the confidence of each pixel disregards spatial coherency that might exist in the confidence map, thus providing a limited performance under challenging conditions...
September 8, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28910696/tissue-microstructure-estimation-using-a-deep-network-inspired-by-a-dictionary-based-framework
#13
Chuyang Ye
Diffusion magnetic resonance imaging (dMRI) captures the anisotropic pattern of water displacement in the neuronal tissue and allows noninvasive investigation of the complex tissue microstructure. A number of biophysical models have been proposed to relate the tissue organization with the observed diffusion signals, so that the tissue microstructure can be inferred. The Neurite Orientation Dispersion and Density Imaging (NODDI) model has been a popular choice and has been widely used for many neuroscientific studies...
September 6, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28899714/qualitative-evaluation-of-a-narrative-reflection-program-to-help-medical-trainees-recognize-and-avoid-overuse-am-i-doing-what-s-right-for-the-patient
#14
Tanner Caverly, Daniel Matlock, Jocelyn Thompson, Brandon Combs
OBJECTIVE: The Do No Harm Project is a novel reflective writing program that encourages medical trainees to reflect on and write up clinical narratives about instances of avoidable medical overuse. Our goal is to describe this program and to explore the effect of the program on those participating. METHODS: Semi-structured interviews were conducted to explore how participating in the project influenced the thinking, attitudes, and behaviors of participating internal medicine residents...
September 8, 2017: Patient Education and Counseling
https://www.readbyqxmd.com/read/28895137/bringing-radical-behaviorism-to-revolutionary-brazil-and-back-fred-keller-s-personalized-system-of-instruction-and-cold-war-engineering-education
#15
Atsushi Akera
This article traces the shifting epistemic commitments of Fred S. Keller and his behaviorist colleagues during their application of Skinnerian radical behaviorism to higher education pedagogy. Building on prior work by Alexandra Rutherford and her focus on the successive adaptation of Skinnerian behaviorism during its successive applications, this study utilizes sociologist of science Karin Knorr Cetina's concept of epistemic cultures to more precisely trace the changes in the epistemic commitments of a group of radical behaviorists as they shifted their focus to applied behavioral analysis...
September 12, 2017: Journal of the History of the Behavioral Sciences
https://www.readbyqxmd.com/read/28893071/a-model-of-collaboration-for-the-implementation-of-problem-based-learning-in-nursing-education-in-south-africa
#16
Mahlasela A Rakhudu, Mashudu Davhana-Maselesele, Ushonatefe Useh
BACKGROUND: The idea of collaboration between key stakeholders in nursing education for the implementation of problem-based learning (PBL) may have far-reaching implications for the institutions and students. MAIN OBJECTIVE: To develop a model of collaboration to facilitate the implementation of PBL in nursing education. METHODOLOGY: An exploratory sequential design was used. Qualitative data were collected from purposively recruited nurse educators from three universities in South Africa offering PBL and nurse managers from all the three hospitals in North West Province where PBL students are placed for clinical learning...
August 28, 2017: Curationis
https://www.readbyqxmd.com/read/28890925/on-the-road-to-becoming-a-responsible-leader-a-simulation-based-training-approach-for-final-year-medical-students
#17
Marion Schmidt-Huber, Janine Netzel, Jan Kiesewetter
Background and objective: There is a need for young physicians to take a responsible role in clinical teams, comparable to a leadership role. However, today's medical curricula barely consider the development of leadership competencies. Acquisition of leadership skills are currently a by-product of medical education, even though it seems to be a competency relevant for physicians' success. Therefore, an innovative leadership training program for young physicians was developed and validated. Training conceptualisation were based upon findings of critical incidents interviews (N=19) with relevant personnel (e...
2017: GMS Journal for Medical Education
https://www.readbyqxmd.com/read/28890922/concept-and-benefits-of-the-inverted-classroom-method-for-a-competency-based-biochemistry-course-in-the-pre-clinical-stage-of-a-human-medicine-course-of-studies
#18
Susanne J Kühl, Matthias Toberer, Oliver Keis, Daniel Tolks, Martin R Fischer, Michael Kühl
Background: Medical students often have a problem recognising the relevance of basic science subjects for their later professional work in the pre-clinical stage of their studies. This can lead to a lower motivation to learn biochemical content and dissatisfaction in the courses amongst the students. Alternative teaching methods such as the Inverted Classroom (IC) method can address this deficiency. The goal of this study was: to analyse the motivation and satisfaction of the students in a biochemistry seminar through the use of the e-learning-based IC method, to investigate the acceptance against the IC teaching method in biochemistry, and to compare the learning success achieved using the IC approach with that of a traditional course...
2017: GMS Journal for Medical Education
https://www.readbyqxmd.com/read/28890084/contingent-engagement-what-we-learn-from-patients-with-complex-health-problems-and-low-socioeconomic-status
#19
Miriam Komaromy, Erin Fanning Madden, Andrea Zurawski, Summers Kalishman, Kristin Barker, Patricia O'Sullivan, Martin Jurado, Sanjeev Arora
OBJECTIVE: Elicit patients' perceptions of factors that facilitate their engagement in care METHODS: In-depth interviews with 20 adult Medicaid patients who had complex health problems, frequent hospitalizations/emergency department use, and who were enrolled in an intensive, team-based care program designed to address medical, behavioral, and social needs. RESULTS: Prior to engaging in the program, participants described weak relationships with primary care providers, frequent hospitalizations and emergency visits, poor adherence to medications and severe social barriers to care...
September 1, 2017: Patient Education and Counseling
https://www.readbyqxmd.com/read/28885168/generalized-multi-view-embedding-for-visual-recognition-and-cross-modal-retrieval
#20
Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj
In this paper, the problem of multi-view embedding from different visual cues and modalities is considered. We propose a unified solution for subspace learning methods using the Rayleigh quotient, which is extensible for multiple views, supervised learning, and nonlinear embeddings. Numerous methods including canonical correlation analysis, partial least square regression, and linear discriminant analysis are studied using specific intrinsic and penalty graphs within the same framework. Nonlinear extensions based on kernels and (deep) neural networks are derived, achieving better performance than the linear ones...
September 6, 2017: IEEE Transactions on Cybernetics
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