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Intuitive decision making

Steve Goodacre, Kimberley Horspool, Catherine Nelson-Piercy, Marian Knight, Neil Shephard, Fiona Lecky, Steven Thomas, Beverley J Hunt, Gordon Fuller
OBJECTIVE: To identify clinical features associated with PE diagnosis and determine the accuracy of decision rules and D-dimer for diagnosing suspected PE in pregnant/postpartum women. DESIGN: Observational cohort study augmented with additional cases. SETTING: Emergency departments and maternity units at eleven prospectively recruiting sites and maternity units in the United Kingdom Obstetric Surveillance System (UKOSS). POPULATION: 324 pregnant/postpartum women with suspected PE and 198 pregnant/postpartum women with diagnosed PE...
May 21, 2018: BJOG: An International Journal of Obstetrics and Gynaecology
D L Clarke
Feline obstructive ureteral disease will likely remain a common and frustrating cause of critical illness in cats for the foreseeable future. Since many cats are uraemic and cardiovascularly unstable secondary to obstructive nephropathy, prompt recognition using clinical intuition, blood work and diagnostic imaging is essential to make a timely diagnosis and decision about timing for intervention, if indicated. Multiple surgical and interventional procedures exist for the management of feline ureteral obstructions but there is no ideal technique and all currently available procedures carry risk of infection, re-obstruction, urine leakage and the need for additional procedures in the future...
May 20, 2018: Journal of Small Animal Practice
Rachel Walker, Jonathan D Schoenfeld, Shari Pilon-Thomas, Jan Poleszczuk, Heiko Enderling
The potential for local radiation therapy to elicit systemic (abscopal) anti-tumor immune responses has been receiving a significant amount of attention over the last decade. We recently developed a mathematical framework designed to simulate the systemic dissemination of activated T cells among multiple metastatic sites. This framework allowed the identification of non-intuitive patterns of T cell redistribution after localized therapy, and offered suggestions as to the optimal site to irradiate in order to increase the magnitude of an immune-mediated abscopal response...
September 2017: Convergent Science Physical Oncology
Edouard Timsit, Renaud Léguillette, Brad J White, Robert L Larson, Sébastien Buczinski
No abstract text is available yet for this article.
June 1, 2018: Journal of the American Veterinary Medical Association
Kevin Faust, Quin Xie, Dominick Han, Kartikay Goyle, Zoya Volynskaya, Ugljesa Djuric, Phedias Diamandis
BACKGROUND: There is growing interest in utilizing artificial intelligence, and particularly deep learning, for computer vision in histopathology. While accumulating studies highlight expert-level performance of convolutional neural networks (CNNs) on focused classification tasks, most studies rely on probability distribution scores with empirically defined cutoff values based on post-hoc analysis. More generalizable tools that allow humans to visualize histology-based deep learning inferences and decision making are scarce...
May 16, 2018: BMC Bioinformatics
Joy M Verrinder, Clive J C Phillips
With growing understanding of animals' capabilities, and public and organizational pressures to improve animal welfare, moral action by veterinarians and other relevant professionals to address animal issues is increasingly important. Little is known about how their action choices relate to their moral reasoning on animal ethics issues. A moral judgment measure, the VetDIT, with three animal and three non-animal scenarios, was used to investigate the action choices of 619 students in five animal- and two non-animal-related professional programs in one Australian university, and how these related to their moral reasoning based on Personal Interest (PI), Maintaining Norms (MN), or Universal Principles (UP) schemas...
2018: Journal of Veterinary Medical Education
Joao Castelhano, Isabel C Duarte, Carlos Ferreira, Joao Duraes, Henrique Madeira, Miguel Castelo-Branco
Software programming is a complex and relatively recent human activity, involving the integration of mathematical, recursive thinking and language processing. The neural correlates of this recent human activity are still poorly understood. Error monitoring during this type of task, requiring the integration of language, logical symbol manipulation and other mathematical skills, is particularly challenging. We therefore aimed to investigate the neural correlates of decision-making during source code understanding and mental manipulation in professional participants with high expertise...
May 9, 2018: Brain Imaging and Behavior
Charles A Herring, Bob Chen, Eliot T McKinley, Ken S Lau
Function at the organ level manifests itself from a heterogeneous collection of cell types. Cellular heterogeneity emerges from developmental processes by which multipotent progenitor cells make fate decisions and transition to specific cell types through intermediate cell states. Although genetic experimental strategies such as lineage tracing have provided insights into cell lineages, recent developments in single-cell technologies have greatly increased our ability to interrogate distinct cell types, as well as transitional cell states in tissue systems...
2018: Cellular and Molecular Gastroenterology and Hepatology
Ruud Hortensius, Solène Neyret, Mel Slater, Beatrice de Gelder
The occurrence of helping behavior is thought to be automatically triggered by reflexive reactions and promoted by intuitive decisions. Here, we studied whether reflexive reactions to an emergency situation are associated with later helping behavior in a different situation, a violent conflict. First, 29 male supporters of F.C. Barcelona performed a cued-reaction time task with a low and high cognitive load manipulation, to tap into reflexive and reflective processes respectively, during the observation of an emergency...
2018: PloS One
Wouter Kool, Samuel J Gershman, Fiery A Cushman
Decision-making algorithms face a basic tradeoff between accuracy and effort (i.e., computational demands). It is widely agreed that humans can choose between multiple decision-making processes that embody different solutions to this tradeoff: Some are computationally cheap but inaccurate, whereas others are computationally expensive but accurate. Recent progress in understanding this tradeoff has been catalyzed by formalizing it in terms of model-free (i.e., habitual) versus model-based (i.e., planning) approaches to reinforcement learning...
April 18, 2018: Journal of Cognitive Neuroscience
Gary B Wilkerson, Craig R Denegar
CONTEXT:   The paradigm of evidence-based practice (EBP) is well established among the health care professions, but perspectives on the best methods for acquiring, analyzing, appraising, and using research evidence are evolving. BACKGROUND:   The EBP paradigm has shifted away from a hierarchy of research-evidence quality to recognize that multiple research methods can yield evidence to guide clinicians and patients through a decision-making process. Whereas the "frequentist" approach to data interpretation through hypothesis testing has been the dominant analytical method used by and taught to athletic training students and scholars, this approach is not optimal for integrating evidence into routine clinical practice...
March 2018: Journal of Athletic Training
Matthias Dietzel, Pascal A T Baltzer
Due to its superior sensitivity, breast MRI (bMRI) has been established as an important additional diagnostic tool in the breast clinic and is used for screening in patients with an elevated risk for breast cancer. Breast MRI, however, is a complex tool, providing multiple images containing several contrasts. Thus, reading bMRI requires a structured approach. A lack of structure will increase the rate of false-positive findings and sacrifice most of the advantages of bMRI as additional work-up will be required...
April 3, 2018: Insights Into Imaging
Alexander Oeser, Jan Gaebel, Andreas Dietz, Susanne Wiegand, Steffen Oeltze-Jafra
PURPOSE: Overcoming the flaws of current data management conditions in head and neck oncology could enable integrated information systems specifically tailored to the needs of medical experts in a tumor board meeting. Clinical dashboards are a promising method to assist various aspects of the decision-making process in such cognitively demanding scenarios. However, in order to provide extensive and intuitive assistance to the participating physicians, the design and development of such a system have to be user-centric...
March 28, 2018: International Journal of Computer Assisted Radiology and Surgery
Alison Wright-Reid
Crisis situations are inherently uncertain and threatening. Although the primal stress reactions they provoke deliver some advantages, they so severely restrict intellect and behaviour that consultants observe crisis teams making the same mistakes over and again. Stress risks can be managed before, during and after a crisis. Crisis planning can select the right people, control the crisis team environment, and mitigate fatigue risks and memory demands. Because stress reactions are primitive, stress can be manipulated at a remarkably primitive level and teams can increase their resilience through such basics as sleep and breathing skills...
January 1, 2018: Journal of Business Continuity & Emergency Planning
Miroslav Sirota, Marie Juanchich
The Cognitive Reflection Test, measuring intuition inhibition and cognitive reflection, has become extremely popular because it reliably predicts reasoning performance, decision-making, and beliefs. Across studies, the response format of CRT items sometimes differs, based on the assumed construct equivalence of tests with open-ended versus multiple-choice items (the equivalence hypothesis). Evidence and theoretical reasons, however, suggest that the cognitive processes measured by these response formats and their associated performances might differ (the nonequivalence hypothesis)...
March 27, 2018: Behavior Research Methods
Coby Morvinski, On Amir
In a series of 8 experiments, we demonstrate the existence of a "labeling effect" wherein people intuitively relate preferred choices to prominently labeled cues (such as heads as opposed to tails in a coin toss) and vice versa. Importantly, the observed congruence is asymmetric-it does not manifest for nonprominent cues and nonpreferred choices. This is because the congruence is driven by a process of evaluative matching: prominent cues are liked, but nonprominent cues are neutral or at most slightly negative in contrast...
March 26, 2018: Journal of Experimental Psychology. Learning, Memory, and Cognition
Cheng Xu, Jie He, Xiaotong Zhang, Haipiao Cai, Shihong Duan, Po-Hsuan Tseng, Chong Li
Motion related human activity recognition using wearable sensors can potentially enable various useful daily applications. So far, most studies view it as a stand-alone mathematical classification problem without considering the physical nature and temporal information of human motions. Consequently, they suffer from data dependencies and encounter the curse of dimension and the overfitting issue. Their models are hard to be intuitively understood. Given a specific motion set, if structured domain knowledge could be manually obtained, it could be used for better recognizing certain motions...
2018: Computational Intelligence and Neuroscience
Luisa Flohr, Shaylene Beaudry, K Taneille Johnson, Nicholas West, Catherine M Burns, J Mark Ansermino, Guy A Dumont, David Wensley, Peter Skippen, Matthias Gorges
The pediatric intensive care unit (ICU) is a complex environment, in which a multidisciplinary team of clinicians (registered nurses, respiratory therapists, and physicians) continually observe and evaluate patient information. Data are provided by multiple, and often physically separated sources, cognitive workload is high, and team communication can be challenging. Our aim is to combine information from multiple monitoring and therapeutic devices in a mobile application, the VitalPAD , to improve the efficiency of clinical decision-making, communication, and thereby patient safety...
2018: IEEE Journal of Translational Engineering in Health and Medicine
Laura M König, Gudrun Sproesser, Harald T Schupp, Britta Renner
BACKGROUND: Although mobile technologies such as smartphone apps are promising means for motivating people to adopt a healthier lifestyle (mHealth apps), previous studies have shown low adoption and continued use rates. Developing the means to address this issue requires further understanding of mHealth app nonusers and adoption processes. This study utilized a stage model approach based on the Precaution Adoption Process Model (PAPM), which proposes that people pass through qualitatively different motivational stages when adopting a behavior...
March 13, 2018: JMIR MHealth and UHealth
Rongbing Xie, William B Hillegass
Implicit and largely intuitive survival predictions guide current clinical decision making after percutaneous coronary intervention (PCI). A model based on nine simple factors known after diagnostic catheterization but prior to PCI provides accurate prediction of five-year survival probability after PCI. Future prediction models and methods incorporating age and gender adjusted risk of death, cause of death (competing risks), and low prevalence but impactful comorbidities automatically implemented in electronic health records have the potential to further inform clinical decision-making and target therapies...
March 1, 2018: Catheterization and Cardiovascular Interventions
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