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61. Universal artificial intelligence platform for collaborative management of cataracts. Full Text available with Trip Pro

Universal artificial intelligence platform for collaborative management of cataracts. To establish and validate a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multilevel clinical scenarios and explored an AI-based medical referral pattern to improve collaborative efficiency and resource coverage.The training and validation datasets were derived from the Chinese Medical Alliance for Artificial Intelligence, covering multilevel healthcare (...) pattern showed robust diagnostic performance in three-step tasks: (1) capture mode recognition (area under the curve (AUC) 99.28%-99.71%), (2) cataract diagnosis (normal lens, cataract or postoperative eye with AUCs of 99.82%, 99.96% and 99.93% for mydriatic-slit lamp mode and AUCs >99% for other capture modes) and (3) detection of referable cataracts (AUCs >91% in all tests). In the real-world tertiary referral pattern, the agent suggested 30.3% of people be 'referred', substantially increasing

2019 British Journal of Ophthalmology

62. The association of striatal volume and positive schizotypy in healthy subjects: intelligence as a moderating factor. (Abstract)

vulnerability to environmental insults, beneficial factors like general intelligence might buffer their effect.To further investigate the role of fronto-striatal networks in schizotypy, we examined the relationship of voxel- and surface-based brain morphometry and a measure of schizotypal traits (Schizotypal Personality Questionnaire, with subscores Cognitive-Perceptual, Interpersonal, Disorganised) in 115 healthy participants [54 female, mean age (s.d.) = 27.57(8.02)]. We tested intelligence (MWT-B (...) The association of striatal volume and positive schizotypy in healthy subjects: intelligence as a moderating factor. Schizotypy, a putative schizophrenia endophenotype, has been associated with brain-structural variations partly overlapping with those in psychotic disorders. Variations in precuneus structure have been repeatedly reported, whereas the involvement of fronto-striatal networks - as in schizophrenia - is less clear. While shared genetic architecture is thought to increase

2019 Psychological Medicine

63. Improving Adolescents' Subjective Well-Being, Trait Emotional Intelligence and Social Anxiety through a Programme Based on the Sport Education Model. Full Text available with Trip Pro

Improving Adolescents' Subjective Well-Being, Trait Emotional Intelligence and Social Anxiety through a Programme Based on the Sport Education Model. This study aimed to evaluate the impact of a physical-sport education pilot programme on adolescents' subjective well-being (health-related quality of life, positive affect and negative affect), trait emotional intelligence and social anxiety. The programme was based on the pedagogical sport education model within a quality physical education (...) framework, and approached from the perspective of social and emotional learning. Participants were 113 compulsory secondary education students aged 12-15 years that were assigned to a control group (n = 44) and an experimental group (n = 69). A quasi-experimental design with repeated pre-test and post-test measures was used. Bonferroni correction was applied for multiple comparisons. The preliminary results obtained in this investigation revealed that the physical-sport education pilot programme

2019 International journal of environmental research and public health Controlled trial quality: uncertain

64. Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study. (Abstract)

Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study. Upper gastrointestinal cancers (including oesophageal cancer and gastric cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep learning algorithms have made remarkable progress in medical imaging but their application in upper gastrointestinal cancers has been limited. We aimed to develop and validate (...) the Gastrointestinal Artificial Intelligence Diagnostic System (GRAIDS) for the diagnosis of upper gastrointestinal cancers through analysis of imaging data from clinical endoscopies.This multicentre, case-control, diagnostic study was done in six hospitals of different tiers (ie, municipal, provincial, and national) in China. The images of consecutive participants, aged 18 years or older, who had not had a previous endoscopy were retrieved from all participating hospitals. All patients with upper gastrointestinal

2019 Lancet Oncology

65. The effectiveness of cognitive rehabilitation program on auditory perception and verbal intelligibility of deaf children. (Abstract)

The effectiveness of cognitive rehabilitation program on auditory perception and verbal intelligibility of deaf children. Linguistic information and cognitive rehabilitation has more related with auditory perception and verbal intelligibility. The aim of the present study was to assessment of the effectiveness of cognitive rehabilitation program on the auditory perception and verbal intelligibility of deaf children. This study was a quasi-experimental study with pre-test, post-test and control (...) of Auditory Performance (CAP) and Speech Intelligibility Rating (SIR). The data were analyzed using multivariate analysis of covariance (MANCOVA) in 24th version of SPSS. The results of MANCOVA showed that cognitive rehabilitation program had significant effect on the auditory perception and verbal intelligibility in the experimental group at post intervention stage (P < 0/0001). There was a positive and significant increase in auditory perception and verbal intelligibility of experimental group. Our

2019 American Journal of Otolaryngology Controlled trial quality: uncertain

66. Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections. Full Text available with Trip Pro

Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections. A substantial proportion of microbiological screening in diagnostic laboratories is due to suspected urinary tract infections (UTIs), yet approximately two thirds of urine samples typically yield negative culture results. By reducing the number of query samples to be cultured and enabling diagnostic services to concentrate on those in which there are true microbial infections (...) approach testing three algorithms (Random Forest, Neural Network, Extreme Gradient Boosting) whilst factoring in independent variables including demographics, historical urine culture results, and clinical details provided with the specimen.A total of 212,554 urine reports were analysed. Initial findings demonstrated the potential for using machine learning algorithms, which outperformed the heuristic model in terms of relative workload reduction achieved at a classification sensitivity > 95%. Upon

2019 Medical Informatics and Decision Making

67. Modulating fluid intelligence performance through combined cognitive training and brain stimulation. (Abstract)

Modulating fluid intelligence performance through combined cognitive training and brain stimulation. It is debated whether cognitive training of specific executive functions leads to far transfer effects, such as improvements in fluid intelligence (Gf). Within this context, transcranial direct current stimulation and recently also novel protocols such as transcranial random noise and alternating current stimulation are being investigated with regards to their ability to enhance cognitive (...) control group. EF training consisted of gamified tasks drawing on isolated as well as integrated executive functions (working memory, inhibition, cognitive flexibility). Transfer was assessed with a combined measure of Gf including three established tests (Bochumer Matrizentest - BOMAT, Raven's Advanced Progressive Matrices - RAPM, and Sandia Matrices). We found significant improvements in Gf for the tDCS, mftDCS, and tRNS groups when compared with the no-contact group. In contrast, the mftACS group

2019 Neuropsychologia Controlled trial quality: uncertain

68. Social cognition in bipolar disorder: the role of sociodemographic, clinical and neurocognitive variables in emotional intelligence. (Abstract)

HC. EI was evaluated using the Mayer Salovey Caruso Emotional Intelligence Test (MSCEIT). The sociodemographic, clinical and neurocognitive variables that showed a significant association with EI were entered into hierarchical multiple regression analysis.BD patients obtained significantly lower scores compared to HC in the Emotional Intelligence quotient (EIQ) and in the Understanding Emotions branch score. The best fitting model for the variables associated with EI in the patients group (...) Social cognition in bipolar disorder: the role of sociodemographic, clinical and neurocognitive variables in emotional intelligence. The main aims of this study were to examine the differences in the Emotional Intelligence (EI), the emotional domain of social cognition (SC), between euthymic patients with bipolar disorder (BD) and healthy controls (HC) and to evaluate the contribution of sociodemographic, clinical and neuropsychological variables to EI.We recruited 202 patients with BD and 50

2019 Acta Psychiatrica Scandinavica

69. Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. Full Text available with Trip Pro

Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. Several recent publications have demonstrated the use of convolutional neural networks to classify images of melanoma at par with board-certified dermatologists. However, the non-availability of a public human benchmark restricts the comparability of the performance of these algorithms and thereby the technical progress in this field.An electronic questionnaire was sent (...) the patient). Main outcome measures were sensitivity, specificity and the receiver operating characteristics (ROC).Total 157 dermatologists assessed all 100 dermoscopic images with an overall sensitivity of 74.1%, specificity of 60.0% and an ROC of 0.67 (range = 0.538-0.769); 145 dermatologists assessed all 100 clinical images with an overall sensitivity of 89.4%, specificity of 64.4% and an ROC of 0.769 (range = 0.613-0.9). Results between test-sets were significantly different (P < 0.05) confirming

2019 European Journal of Cancer

70. Collaborative intelligence and gamification for on-line malaria species differentiation. Full Text available with Trip Pro

Collaborative intelligence and gamification for on-line malaria species differentiation. Current World Health Organization recommendations for the management of malaria include the need for a parasitological confirmation prior to triggering appropriate treatment. The use of rapid diagnostic tests (RDTs) for malaria has contributed to a better infection recognition and a more targeted treatment. Nevertheless, low-density infections and parasites that fail to produce HRP2 can cause false-negative

2019 Malaria journal

71. Intelligence moderates the relationship between age and inter-connectivity of resting state networks in older adults. (Abstract)

state functional magnetic resonance imaging data. Global inter-connectivity between DMN and 9 other resting state networks was calculated using a novel computational framework based on machine learning. Intellectual functioning (intelligence) was estimated using the Wechsler Test of Adult Reading. A significant, positive relationship was found between age and global inter-network connectivity (r = 0.31, p = 0.029). Moderation analyses yielded a significant age × intelligence interaction term (p (...) Intelligence moderates the relationship between age and inter-connectivity of resting state networks in older adults. Age-related changes in the interactive behavior of default mode network (DMN) with other resting state networks are poorly understood. We hypothesized that age would positively correlate with inter-network connectivity in late life and intellectual functioning was expected to moderate this relationship. The sample consisted of 48 community-dwelling older adults with resting

2019 Neurobiology of Aging

72. Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers. (Abstract)

Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers. Purpose: We aimed to develop an ovarian cancer-specific predictive framework for clinical stage, histotype, residual tumor burden, and prognosis using machine learning methods based on multiple biomarkers.Experimental Design: Overall, 334 patients with epithelial ovarian cancer (EOC) and 101 patients with benign ovarian tumors were randomly (...) assigned to "training" and "test" cohorts. Seven supervised machine learning classifiers, including Gradient Boosting Machine (GBM), Support Vector Machine, Random Forest (RF), Conditional RF (CRF), Naïve Bayes, Neural Network, and Elastic Net, were used to derive diagnostic and prognostic information from 32 parameters commonly available from pretreatment peripheral blood tests and age.Results: Machine learning techniques were superior to conventional regression-based analyses in predicting multiple

2019 Clinical Cancer Research Controlled trial quality: uncertain

73. Mobile Internet Telephony Improves Speech Intelligibility and Quality for Cochlear Implant Recipients. (Abstract)

was considered. Volunteers with less than 50% aided monosyllabic word discrimination were excluded.Smartphone communication was changed from GSM to VoIP on two separate devices (A and B).Speech intelligibility was assessed with the Hochmair-Shulz-Moser (HSM) test in noise, speech quality with the mean opinion score (MOS) survey and the perceptual evaluation of speech quality (PESQ) algorithm.With device A, the mean HSM scores were 64.40% ± 32.41 with GSM and 77.28% ± 21.60 with VoIP (p = 0.0573). 66.7 (...) Mobile Internet Telephony Improves Speech Intelligibility and Quality for Cochlear Implant Recipients. The objective of this study was to investigate the benefit of mobile Voice over Internet protocol (VoIP) over conventional mobile phone calls (Global System for Mobile Communications, GSM) on speech intelligibility and quality for cochlear implant (CI) recipients.Cross-sectional, prospective.Tertiary referral center.A volunteer sample of experienced, German-speaking, adult CI recipients

2019 Otology and Neurotology

74. What bridges the gap between emotional intelligence and suicide risk in victims of bullying? A moderated mediation study. (Abstract)

What bridges the gap between emotional intelligence and suicide risk in victims of bullying? A moderated mediation study. Recent research has demonstrated that victims of bullying report serious problems, such as depression, which heighten the risk of suicide. Emotional intelligence (EI) has been increasingly recognized as a protective factor, but little is known about the mechanisms underlying the relation between EI and suicide risk in victims. This study aimed to test a theoretical model

2019 Journal of Affective Disorders

75. Childhood intelligence in relation to major causes of death in 68 year follow-up: prospective population study. Full Text available with Trip Pro

(by 16-58%) the association of intelligence with outcome rates.Conclusions In a whole national population year of birth cohort followed over the life course from age 11 to age 79, higher scores on a well validated childhood intelligence test were associated with lower risk of mortality ascribed to coronary heart disease and stroke, cancers related to smoking (particularly lung and stomach), respiratory diseases, digestive diseases, injury, and dementia.Published by the BMJ Publishing Group Limited (...) Childhood intelligence in relation to major causes of death in 68 year follow-up: prospective population study. Objectives To examine the association between intelligence measured in childhood and leading causes of death in men and women over the life course.Design Prospective cohort study based on a whole population of participants born in Scotland in 1936 and linked to mortality data across 68 years of follow-up.Setting Scotland.Participants 33 536 men and 32 229 women who were participants

2017 BMJ

76. Survey: Emotional intelligence: enhancing value-based practice and compassionate care in nursing Full Text available with Trip Pro

. This study provides a foundation for further research on emotional intelligence measures and successful graduation from nursing school as well as postgraduation success. Context Nursing school admission officers and educators alike have expressed growing interest in criteria for admission to nursing school beyond those traditionally used (standardised testing scores and previous academic achievement). This interest has grown in a care climate where a greater need for human-centred caring (the patient's (...) experience of being cared for) over and above instrumental caring (nursing care activities) has been identified. Findings from this longitudinal study by Rankin demonstrated a correlation between emotional intelligence (EI) measures at admission to nursing school with academic retention as well as clinical and academic performance during the first year of nursing school. Methods This study tested the hypothesis that EI predicts first year nursing school programme outcomes that included retention

2015 Evidence-Based Nursing

77. Latent TB infection (LTBI): testing and treatment

Latent TB infection (LTBI): testing and treatment Latent TB infection testing and treatment programme Technical guidance and specification Latent TB infection testing and treatment programme: technical guidance and specification 2 About Public Health England Public Health England exists to protect and improve the nation’s health and wellbeing, and reduce health inequalities. We do this through world-leading science, knowledge and intelligence, advocacy, partnerships and the delivery (...) PHE publications PHE supports the UN gateway number: GW-404 Sustainable Development Goals Latent TB infection testing and treatment programme: technical guidance and specification 3 Contents About Public Health England 2 1. Background 4 1.1 Programme monitoring 4 1.2 Eligibility 4 1.3 Testing 5 1.4 Treatment 5 2. Aim of document 6 3. Data flow process 7 3.1 Testing data 7 3.2 Community/secondary care/treatment data collection 8 3.3 LTBI data excel template 8 3.4 Laboratory data 8 4. Data extract

2019 Public Health England

78. Intelligent Condition Diagnosis Method Based on Adaptive Statistic Test Filter and Diagnostic Bayesian Network Full Text available with Trip Pro

Intelligent Condition Diagnosis Method Based on Adaptive Statistic Test Filter and Diagnostic Bayesian Network A new fault diagnosis method for rotating machinery based on adaptive statistic test filter (ASTF) and Diagnostic Bayesian Network (DBN) is presented in this paper. ASTF is proposed to obtain weak fault features under background noise, ASTF is based on statistic hypothesis testing in the frequency domain to evaluate similarity between reference signal (noise signal) and original signal

2016 Sensors (Basel, Switzerland)

79. Assessment of the Speech Intelligibility Performance of Post Lingual Cochlear Implant Users at Different Signal-to-Noise Ratios Using the Turkish Matrix Test Full Text available with Trip Pro

Assessment of the Speech Intelligibility Performance of Post Lingual Cochlear Implant Users at Different Signal-to-Noise Ratios Using the Turkish Matrix Test Spoken word recognition and speech perception tests in quiet are being used as a routine in assessment of the benefit which children and adult cochlear implant users receive from their devices. Cochlear implant users generally demonstrate high level performances in these test materials as they are able to achieve high level speech (...) perception ability in quiet situations. Although these test materials provide valuable information regarding Cochlear Implant (CI) users' performances in optimal listening conditions, they do not give realistic information regarding performances in adverse listening conditions, which is the case in the everyday environment.The aim of this study was to assess the speech intelligibility performance of post lingual CI users in the presence of noise at different signal-to-noise ratio with the Matrix Test

2016 Balkan medical journal

80. Higher emotional intelligence is related to lower test anxiety among students Full Text available with Trip Pro

Higher emotional intelligence is related to lower test anxiety among students For students attending university courses, experiencing test anxiety (TA) dramatically impairs cognitive performance and success at exams. Whereas TA is a specific case of social phobia, emotional intelligence (EI) is an umbrella term covering interpersonal and intrapersonal skills, along with positive stress management, adaptability, and mood. In the present study, we tested the hypothesis that higher EI and lower TA

2016 Neuropsychiatric disease and treatment

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