Brayfields0773
Research into Explainable Artificial Intelligence (XAI) has been increasing in recent years as a response to the need for increased transparency and trust in AI. This is particularly important as AI is used in sensitive domains with societal, ethical, and safety implications. Work in XAI has primarily focused on Machine Learning (ML) for classification, decision, or action, with detailed systematic reviews already undertaken. This review looks to explore current approaches and limitations for XAI in the area of Reinforcement Learning (RL). From 520 search results, 25 studies (including 5 snowball sampled) are reviewed, highlighting visualization, query-based explanations, policy summarization, human-in-the-loop collaboration, and verification as trends in this area. Limitations in the studies are presented, particularly a lack of user studies, and the prevalence of toy-examples and difficulties providing understandable explanations. Areas for future study are identified, including immersive visualization, and symbolic representation.Routine blood pressure (BP) measurement in pregnancy is commonly performed using automated oscillometric devices. Since no wireless oscillometric BP device has been validated in preeclamptic populations, a simple approach for capturing readings from such devices is needed, especially in low-resource settings where transmission of BP data from the field to central locations is an important mechanism for triage. To this end, a total of 8192 BP readings were captured from the Liquid Crystal Display (LCD) screen of a standard Omron M7 self-inflating BP cuff using a cellphone camera. A cohort of 49 lay midwives captured these data from 1697 pregnant women carrying singletons between 6 weeks and 40 weeks gestational age in rural Guatemala during routine screening. Images exhibited a wide variability in their appearance due to variations in orientation and parallax; environmental factors such as lighting, shadows; and image acquisition factors such as motion blur and problems with focus. Images were independently labeled for readability and quality by three annotators (BP range 34-203 mm Hg) and disagreements were resolved. Methods to preprocess and automatically segment the LCD images into diastolic BP, systolic BP and heart rate using a contour-based technique were developed. A deep convolutional neural network was then trained to convert the LCD images into numerical values using a multi-digit recognition approach. On readable low- and high-quality images, this proposed approach achieved a 91% classification accuracy and mean absolute error of 3.19 mm Hg for systolic BP and 91% accuracy and mean absolute error of 0.94 mm Hg for diastolic BP. These error values are within the FDA guidelines for BP monitoring when poor quality images are excluded. The performance of the proposed approach was shown to be greatly superior to state-of-the-art open-source tools (Tesseract and the Google Vision API). The algorithm was developed such that it could be deployed on a phone and work without connectivity to a network.Various imaging and electrophysiological studies in a number of different species and brain regions have revealed that neuronal dynamics associated with diverse behavioral patterns and cognitive tasks take on a sequence-like structure, even when encoding stationary concepts. These neuronal sequences are characterized by robust and reproducible spatiotemporal activation patterns. This suggests that the role of neuronal sequences may be much more fundamental for brain function than is commonly believed. Furthermore, the idea that the brain is not simply a passive observer but an active predictor of its sensory input, is supported by an enormous amount of evidence in fields as diverse as human ethology and physiology, besides neuroscience. Hence, a central aspect of this review is to illustrate how neuronal sequences can be understood as critical for probabilistic predictive information processing, and what dynamical principles can be used as generators of neuronal sequences. Moreover, since different lines of e artificial neuronal networks for machine learning tasks.Electronic cigarettes (e-cigarettes) are commonly used devices by adolescents and young adults. Since their introduction, the popularity of e-cigarettes has increased significantly with close to twenty percent of United States high school students reporting current use in 2020. As the number of e-cigarette users has increased, so have reports of vaping related health complications. Overall, respiratory tract infections remain one of the top ten leading causes of death in the US for every age group. Specific to the pediatric population, lower respiratory tract infections are the leading cause for hospitalization. This review highlights the current evidence behind e-cigarette exposure and its association with impaired innate immune function and the risk of lower respiratory tract infections. To date, various preclinical models have evaluated the direct effects of e-cigarette exposure on the innate immune system. find more More specifically, e-cigarette exposure impairs certain cell types of the innate immune system including the airway epithelium, lung macrophage and neutrophils. Identified effects of e-cigarette exposure common to the lung's innate immunity include abnormal mucus composition, reduced epithelial barrier function, impaired phagocytosis and elevated systemic markers of inflammation. These identified impairments in the lung's innate immunity have been shown to increase adhesion of certain bacteria and fungi as well as to increase virulence of common respiratory pathogens such as influenza virus, Staphylococcus aureus or Streptococcus pneumoniae. Information summarized in this review will provide guidance to healthcare providers, policy advocates and researchers for making informed decisions regarding the associated respiratory health risks of e-cigarette use in pediatric and young adults.Dyslipidemia is known as a strong risk factor for premature atherosclerotic cardiovascular disease and increased morbidity and mortality and can have an adverse effect on left ventricular function due to direct or indirect macrovascular and/or microvascular damage. Speckle-tracking echocardiography allows the assessment of subclinical cardiac dysfunction in different diseases on the basis of myocardial deformation indices, and decrease in longitudinal and circumferential strain was shown in patients with heterozygous familial hypercholesterolemia (heFH) without comorbidities. In this issue of the journal a new study presents the results in a well-defined population which included asymptomatic treatment-naive heFH individuals without known coronary/peripheral arterial disease, with normal left ventricular ejection fraction and no other risk factors as formal arterial hypertension or diabetes mellitus. A slight impairment of global longitudinal strain was present, despite normal standard echocardiographic parameters. Also, the higher rise in systolic and diastolic blood pressure of heHF patients during exercise treadmill test might reflect early preclinical hypertension. High cholesterol level may have produced endothelial dysfunction, which has been shown to be related to the extent of atherosclerotic process and cardiovascular damage. Relevant findings are reported on left ventricular strain reduction and increase in systolic/diastolic blood pressure in asymptomatic heFH males. The relationship between myocardial strain impairment and developing systemic arterial hypertension in hypercholesterolemic patients could be the subject of further subsequent investigation.
Cancer survivors are at greater risk for cardiovascular disease (CVD) than second malignancy, resulting in a decreased quality of life and increased cost of care. Additional knowledge of CVD prevention by identifying possible risk factors has clinical relevance. Our main objective was to determine the relevance of a clinical index of arterial stiffness, pulse pressure, in predicting CVD mortality in cancer patients, with a second objective to examine its relationship with cancer mortality.
We retrospectively analyzed 781 cancer patients from Third National Health and Nutrition Examination Survey and Linked Mortality File, including demographic, anthropometric, blood pressure, and cause of death. Kaplan-Meier survival curve and Cox hazard regression analyses were performed to assess the relationship between pulse pressure and cardiovascular, cancer, and all-cause mortality.
During a mean follow-up time of 8.1 years, 603 deaths, 257 cancer and 151 CVD, occurred. In unadjusted models, the risk of CVD, cancer, and all-cause mortality were 3.8-fold, 5.3-fold, and 1.6-fold higher, respectively, for pulse pressure ≥70mmHg compared to <50mmHg. Adjusted analyses revealed a higher CVD mortality in cancer patients <65 years with a pulse pressure 60-70mmHg (adjusted hazard ratio, 5.26; 95%CI, 1.12-24.78) when compared to pulse pressure of <50mmHg. Pulse pressure was not associated with risk of all-cause, CVD, or cancer in those ≥65 years.
Pulse pressure, an index of arterial stiffness, is predictive of CVD mortality in cancer patients. Our findings support non-invasive office-setting measurements of arterial stiffness to identify high risk patients.
Pulse pressure, an index of arterial stiffness, is predictive of CVD mortality in cancer patients. Our findings support non-invasive office-setting measurements of arterial stiffness to identify high risk patients.
Heterozygous familial hypercholesterolemia (heFH) is a genetic disorder leading to premature coronary artery disease (CAD). We hypothesized that the subclinical pathophysiologic consequences of hypercholesterolemia may be detected before the occurrence of clinically overt CAD by stress testing and myocardial strain imaging.
We evaluated the treadmill tests (ETTs) of 46 heFH men without known arterial hypertension/diabetes mellitus/vasculopathy like CAD and of 39 healthy men matched for age, baseline systolic/diastolic blood pressure (BP) and heart rate (HR), using Bruce protocol. Global longitudinal strain (GLS) of the left ventricle (LV) additionally to ejection fraction was obtained.
heFH men reached a significantly higher peak systolic and diastolic BP compared to controls (p=0.002 and p<0.001, respectively). Mean rate pressure product was significantly higher in heFH patients (p=0.038). Both duration of the ETT and workload in metabolic equivalents was lower in the heFH group (p<0.001 and p<0.001, respectively). Baseline to peak rise of systolic and diastolic BP in heFH men was higher (p=0.008 and p<0.001 for systolic and diastolic BP, respectively). Furthermore, heFH men had higher rise of HR from baseline to peak, compared to controls; (p=0.047). GLS in heHF men was slightly decreased (p=0.014), although the ejection fraction was similar in both groups.
heFH men have a higher rise in systolic/diastolic BP during ETT, which may reflect early, preclinical hypertension. Furthermore, slight impairment of LV GLS is present, despite the absence of apparent myocardial dysfunction in conventional 2D echocardiography.
heFH men have a higher rise in systolic/diastolic BP during ETT, which may reflect early, preclinical hypertension. Furthermore, slight impairment of LV GLS is present, despite the absence of apparent myocardial dysfunction in conventional 2D echocardiography.
