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Guidelines for COVID-19 issued by the Centers for Disease Control and Prevention prompted state and local governments to mandate safety measures for screening high-risk patient populations and for institutions to look for ways to limit human contact when possible. The aim of this study was to determine the feasibility of an automated communication system (chatbot) for COVID-19 screening before patients' radiology appointments and to describe patient experiences with the chatbot. We developed a chatbot for COVID-19 screening before outpatient radiology examination appointments and tested it in a pilot study from July 6 to August 31, 2020. The chatbot assessed the presence of any symptoms, exposure, and recent testing. User experience was assessed via a questionnaire based on a 5-point Likert scale. Multivariable logistic regression was performed to predict response rate. The chatbot COVID-19 screening SMS message was sent to 4687 patients. Of these patients, 2722 (58.1%) responded. Of the respondents, 46 (1.7%) reported COVID-19 symptoms; 34 (1.2%) had COVID-19 tests scheduled or pending. Of the 1965 nonresponders, authentication failed for 174 (8.8%), 1496 (76.1%) did not engage with the SMS message, and 251 (12.8%) timed out of the chatbot. The mean rating for the chatbot experience was 4.6. In a multivariable logistic regression model predicting response rate, English written-language preference independently predicted response (odds ratio, 2.71 [95% CI, 1.77-2.77]; P = .007). Age (P = 0.57) and sex (P = 0.51) did not predict response rate. SMS-based COVID-19 screening before scheduled radiology appointments was feasible. English written-language preference (not age or sex) was associated with higher response rate.Image classification is probably the most fundamental task in radiology artificial intelligence. To reduce the burden of acquiring and labeling data sets, we employed a two-pronged strategy. We automatically extracted labels from radiology reports in Part 1. In Part 2, we used the labels to train a data-efficient reinforcement learning (RL) classifier. We applied the approach to a small set of patient images and radiology reports from our institution. For Part 1, we trained sentence-BERT (SBERT) on 90 radiology reports. In Part 2, we used the labels from the trained SBERT to train an RL-based classifier. We trained the classifier on a training set of [Formula see text] images. We tested on a separate collection of [Formula see text] images. For comparison, we also trained and tested a supervised deep learning (SDL) classification network on the same set of training and testing images using the same labels. Part 1 The trained SBERT model improved from 82 to [Formula see text] accuracy. Part 2 Using Part 1's computed labels, SDL quickly overfitted the small training set. Whereas SDL showed the worst possible testing set accuracy of 50%, RL achieved [Formula see text] testing set accuracy, with a [Formula see text]-value of [Formula see text]. We have shown the proof-of-principle application of automated label extraction from radiological reports. Additionally, we have built on prior work applying RL to classification using these labels, extending from 2D slices to entire 3D image volumes. RL has again demonstrated a remarkable ability to train effectively, in a generalized manner, and based on small training sets. To present a rare case of a cerebral ischemic lesion of unknown etiology in a pediatric patient following idiopathic scoliosis surgery and to review the current literature regarding this complication in children. A 12-year-old female with early-onset scoliosis underwent surgery to correct a 65.6º scoliosis after a normal preoperative study. T4-L1 posterior instrumentation was performed uneventfully. Twelve hours postoperatively, she developed central left facial paresis, diplopia, and gait instability. https://www.selleckchem.com/products/calcium-folinate.html An urgent MRI scan revealed an acute ischemic lesion in the right parasagittal subthalamic-mesencephalic region, for which she received anticoagulant therapy with close monitoring. The diagnosis of "stroke of undetermined etiology" was made according to the CASCADE (Childhood Arterial Ischemic Stroke Standardized Classification and Diagnostic Evaluation) criteria. Therefore, prophylaxis was changed to antiplatelet therapy for 3months. Symptoms resolved within a week, except for an occasional diplopia that subsided after 2months, being asymptomatic at 2years of follow-up. Although a rather frequent complication in adults, there are only 2 other reported cases of ischemic stroke in pediatric patients after scoliosis surgery, both related to longer procedures and underlying disease. Even so, it is important to consider this potential perioperative spinal complication due to the importance of early diagnosis and adequate acute treatment for prognosis.Although a rather frequent complication in adults, there are only 2 other reported cases of ischemic stroke in pediatric patients after scoliosis surgery, both related to longer procedures and underlying disease. Even so, it is important to consider this potential perioperative spinal complication due to the importance of early diagnosis and adequate acute treatment for prognosis.IgA nephropathy (IgAN) cases histopathologically showing glomerular capillary IgA deposition represent a rare subtype of primary IgAN. Patients with IgAN categorized to this subtype often exhibit heavy proteinuria, advanced histological findings, and are resistant to therapies. Here, we report three cases of biopsy-proven IgAN with glomerular capillary IgA deposition who presented acute deterioration of urinalysis findings following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNA vaccinations. Case 1 was recurrent IgAN. Case 2 and Case 3 were newly diagnosed cases with subclinical microhematuria and proteinuria history. All three cases showed gross hematuria and acute exacerbations of proteinuria following SARS-CoV-2 mRNA vaccinations. In all three cases, kidney biopsy findings showed IgA deposition in glomerular capillary walls in addition to mesangial and para-mesangial areas; acute glomerular lesions, such as intra- and extracapillary proliferations were identified, indicating the possibility of a potentially severe type of IgAN. Therefore, attention should be paid to patients with de novo or relapsing IgAN showing marked capillary IgA deposition following SARS-CoV-2 vaccination.In many real-life contexts, where objects are moving around, we are often required to allocate our attention unequally between targets or regions of different importance. However, typical multiple object tracking (MOT) tasks, primarily investigate equal attention allocation as the likelihood of each target being probed is the same. In two experiments, we investigated whether participants can allocate attention unequally across regions of the visual field, using a MOT task where two regions were probed with either a high and low or with equal priority. Experiment 1 showed that for high-priority regions, accuracy (for direction of heading judgments) improved, and participants had more frequent and longer fixations in that region compared with a low-priority region. Experiment 2 showed that eye movements were functional in that they slightly improved accuracy when participants could freely move their eyes compared with when they had to centrally fixate. Replicating Experiment 1, we found better tracking performance for high compared with low-priority regions, in both the free and fixed viewing conditions, but the benefit was greater for the free viewing condition. Although unequal attention allocation is possible without eye movements, eye movements seem to improve tracking ability, presumably by allowing participants to fixate more in the high-priority region and get a better, foveal view of the objects. These findings can help us better understand how observers in real-life settings (e.g., CCTV monitoring, driving) can use their limited attentional capacity to allocate their attention unequally in a demand-based manner across different tracking regions.The sound-induced flash illusion (SIFI) occurs when a rapidly presented visual stimulus is accompanied by two auditory stimuli, creating the illusory percept of two visual stimuli. While much research has focused on how the temporal proximity of the audiovisual stimuli impacts susceptibility to the illusion, comparatively less research has focused on the impact of spatial manipulations. Here, we aimed to assess whether manipulating the eccentricity of visual flash stimuli altered the properties of the temporal binding window associated with the SIFI. Twenty participants were required to report whether they perceived one or two flashes that were concurrently presented with one or two beeps. Visual stimuli were presented at one of four different retinal eccentricities (2.5, 5, 7.5, or 10 degrees below fixation) and audiovisual stimuli were separated by one of eight stimulus-onset asynchronies. In keeping with previous findings, increasing stimulus-onset asynchrony between the auditory and visual stimuli led to a marked decrease in susceptibility to the illusion allowing us to estimate the width and amplitude of the temporal binding window. However, varying the eccentricity of the visual stimulus had no effect on either the width or the peak amplitude of the temporal binding window, with a similar pattern of results observed for both the "fission" and "fusion" variants of the illusion. Thus, spatial manipulations of the audiovisual stimuli used to elicit the SIFI appear to have a weaker effect on the integration of sensory signals than temporal manipulations, a finding which has implications for neuroanatomical models of multisensory integration.It has been reported that corticosteroid therapy was effective in the management of severe acute respiratory syndrome (SARS) and the Middle East Respiratory Syndrome (MERS), and recently in coronavirus disease 2019 (COVID-19). Corticosteroids are potent anti-inflammatory drugs that mitigate the risk of acute respiratory distress syndrome (ARDS) in COVID-19 and other viral pneumonia, despite a reduction of viral clearance; corticosteroids inhibit the development of cytokine storm and multi-organ damage. The risk-benefit ratio should be assessed for critical COVID-19 patients. In conclusion, corticosteroid therapy is an effective way in the management of COVID-19, it reduces the risk of complications primarily acute lung injury and the development of ARDS. Besides, corticosteroid therapy mainly dexamethasone and methylprednisolone are effective in reducing the severity of COVID-19 and associated comorbidities such as chronic obstructive pulmonary diseases (COPD), rheumatoid arthritis, and inflammatory bowel disease (IBD). Some cardiovascular (CV) risk factors, such as hypertension and diabetes mellitus, have been reported to reduce left ventricular (LV) longitudinal strain (LS) even in patients with preserved LV ejection fraction. We hypothesized that multiple CV risk factors might cause changes in myocardial strain. Our study aimed to assess the association between multiple CV risk factors and strain in patients without previous CV disease (CVD). We retrospectively evaluated 137 patients without CVD, who underwent echocardiography at our institution between May 2017 and February 2020. They were divided into four groups based on the number of risk factors (group 0 no risk factor, group 1 one risk factor, group 2 two risk factors, and groups 3 three or four risk factors). Risk factors were hypertension, dyslipidemia, diabetes mellitus, and chronic kidney disease. Absolute values of global LS (GLS) and relative apical LS ratio (RALSR) defined using the equation average apical LS/(average basal LS + average mid LS) and was used as a marker of strain distribution.
