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41. Protein subnuclear localization based on a new effective representation and intelligent kernel linear discriminant analysis by dichotomous greedy genetic algorithm. Full Text available with Trip Pro

) to intelligently select its kernel bandwidth parameter. Two public datasets with Jackknife test and KNN classifier were used for the numerical experiments. The results showed that the overall success rate (OSR) with single representation CoPSSM is larger than that with many relevant representations. The OSR of the proposed method can reach as high as 87.444% and 90.3361% for these two datasets, respectively, outperforming many current methods. To show the generalization of the proposed algorithm, two extra (...) Protein subnuclear localization based on a new effective representation and intelligent kernel linear discriminant analysis by dichotomous greedy genetic algorithm. A wide variety of methods have been proposed in protein subnuclear localization to improve the prediction accuracy. However, one important trend of these means is to treat fusion representation by fusing multiple feature representations, of which, the fusion process takes a lot of time. In view of this, this paper novelly proposed

2018 PLoS ONE

42. Crystallized and fluid intelligence of university students with intellectual disability who are fully integrated versus those who studied in adapted enrichment courses. Full Text available with Trip Pro

: (a) separate adapted enrichment model: students with ID study in separate enrichment courses adapted to their level; (b) full inclusion model: students with ID are included in undergraduate courses, receive academic credits and are expected to accumulate the amount of credits for a B.A.(a) To examine whether crystallized and fluid intelligence and cognitive tests can serve as screening tests for determining the appropriate placement of students with ID for the adapted enrichment model versus the full (...) inclusion model. (b) To examine the attitudes towards the program of students with ID in the inclusion model.The sample included 31 adults with ID: students with ID who were fully included (N = 10) and students with ID who participated in the adapted enrichment model (N = 21). Crystallized and fluid intelligence were examined (WAIS-III, Wechsler, 1997) and Hebrew abstract verbal tests (Glanz, 1989). Semi-structured interviews were conducted in order to examine the attitudes of students in the inclusion

2018 PLoS ONE

43. Comprehensive In Vitro Toxicity Testing of a Panel of Representative Oxide Nanomaterials: First Steps towards an Intelligent Testing Strategy Full Text available with Trip Pro

Comprehensive In Vitro Toxicity Testing of a Panel of Representative Oxide Nanomaterials: First Steps towards an Intelligent Testing Strategy Nanomaterials (NMs) display many unique and useful physico-chemical properties. However, reliable approaches are needed for risk assessment of NMs. The present study was performed in the FP7-MARINA project, with the objective to identify and evaluate in vitro test methods for toxicity assessment in order to facilitate the development of an intelligent (...) testing strategy (ITS). Six representative oxide NMs provided by the EC-JRC Nanomaterials Repository were tested in nine laboratories. The in vitro toxicity of NMs was evaluated in 12 cellular models representing 6 different target organs/systems (immune system, respiratory system, gastrointestinal system, reproductive organs, kidney and embryonic tissues). The toxicity assessment was conducted using 10 different assays for cytotoxicity, embryotoxicity, epithelial integrity, cytokine secretion

2015 PloS one

44. The Effectiveness of a Resilience Intervention Program on Emotional Intelligence of Adolescent Students with Hearing Loss. Full Text available with Trip Pro

The Effectiveness of a Resilience Intervention Program on Emotional Intelligence of Adolescent Students with Hearing Loss. Adolescents with hearing loss have been shown to have some emotional difficulties. This study investigated the effectiveness of a resilience training program on the emotional intelligence of mainstreamed adolescent students with hearing loss. In this experimental study, a pre-test, post-test, follow up and control group design was implemented. After receiving informed (...) , despising and ridiculing, intra- and interpersonal skills. The Connor-Davidson resilience scale (CD-RISC) and the Schutte Emotional Intelligence Scale were used to measure the resilience and the emotional intelligence (EI) of participants respectively just before intervention, as well as at the 6- and 14-week marks. The Friedman Test was used to compare changes in emotional intelligence between interventional and control groups. The intervention increased the resilience scores by 20 points. Although

2019 Children (Basel, Switzerland) Controlled trial quality: uncertain

45. The Effect of Emotional Intelligence Training on Self-efficacy in Women with Multiple Sclerosis. Full Text available with Trip Pro

The Effect of Emotional Intelligence Training on Self-efficacy in Women with Multiple Sclerosis. Multiple sclerosis (MS), a chronic disease of the central nervous system (CNS), causing progressive nerve damage, has disabling symptoms, and undermines self-efficacy beliefs. Due to the importance of self-efficacy modified in adaptation and coping with stress, this study was conducted with the aim to investigate the effect of emotional intelligence training on self-efficacy in women with MS.This (...) randomized clinical trial was conducted on 70 women referring to the Multiple Sclerosis Clinic of Kashani Hospital, Isfahan, Iran. The participants were randomly assigned to two groups through minimization method. In the experimental group, emotional intelligence training was performed within 8 weeks, once a week for 90 minutes, in groups of 8-9 individuals. Data were collected using the Multiple Sclerosis Self-efficacy Scale (MSSS) before, immediately after, and 3 months after the intervention in both

2019 Iranian journal of nursing and midwifery research Controlled trial quality: uncertain

46. Design and research of intelligent motion intervention system for infectious diseases. Full Text available with Trip Pro

, system implementation and system testing. Finally, it is verified that its function and performance can meet people's needs and achieve the desired goals. At the same time, it provides useful reference for standardizing drug use behavior, improving drug efficacy, reducing adverse reactions, and improving the level of clinical treatment. Thus, under the intervention of intelligent motor system based on K-proximity algorithm, rehabilitation treatment of chronic diseases can not only reduce the physical (...) Design and research of intelligent motion intervention system for infectious diseases. In order to provide a more valuable means of examination, treatment and rehabilitation for patients with chronic diseases by using the intelligent motion control training system, simple obesity, diabetes mellitus, heart disease, hypertension and other four types of chronic diseases with the highest incidence of diseases are taken as the research object. Several patients with each disease are randomly divided

2019 Journal of infection and public health Controlled trial quality: uncertain

47. Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments. Full Text available with Trip Pro

Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments. Background and purpose - Artificial intelligence has rapidly become a powerful method in image analysis with the use of convolutional neural networks (CNNs). We assessed the ability of a CNN, with a fast object detection algorithm previously identifying the regions of interest, to detect distal radius fractures (DRFs) on anterior-posterior (AP) wrist (...) groups. Results - The object detection model achieved a high average IOU, and none of the IOUs had a value less than 0.5. The AUC of the CNN for this test was 0.96. The network had better performance in distinguishing images with DRFs from normal images compared with a group of radiologists in terms of the accuracy, sensitivity, specificity, and Youden Index. The network presented a similar diagnostic performance to that of the orthopedists in terms of these variables. Interpretation - The network

2019 Acta Orthopaedica

48. Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility. (Abstract)

Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility. Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial intelligence (AI) to optimize the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS (...) of the systems was compared by using a test set of the final 100 nodules with interpretations from the expert reader, eight nonexpert readers, and an expert panel. Initial performance of AI TI-RADS was calculated by using a test for differences between binomial proportions. Additional comparisons across readers were conducted by using bootstrapping; diagnostic performance was assessed by using area under the receiver operating curve. Results AI TI-RADS assigned new point values for eight ACR TI-RADS features

2019 Radiology

49. Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain. Full Text available with Trip Pro

Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain. For many years, clinicians have been seeking for objective pain assessment solutions via neuroimaging techniques, focusing on the brain to detect human pain. Unfortunately, most of those techniques are not applicable in the clinical environment or lack accuracy.This study aimed to test the feasibility of a mobile neuroimaging-based clinical augmented (...) reality (AR) and artificial intelligence (AI) framework, CLARAi, for objective pain detection and also localization direct from the patient's brain in real time.Clinical dental pain was triggered in 21 patients by hypersensitive tooth stimulation with 20 consecutive descending cold stimulations (32°C-0°C). We used a portable optical neuroimaging technology, functional near-infrared spectroscopy, to gauge their cortical activity during evoked acute clinical pain. The data were decoded using a neural

2019 Journal of medical Internet research

50. Assessing the effectiveness of artificial intelligence methods for melanoma:A retrospective review. (Abstract)

Assessing the effectiveness of artificial intelligence methods for melanoma:A retrospective review. [Artificial intelligence methods for the classification of melanoma have been studied extensively. However, few studies compare these methods under the same standards.] OBJECTIVE: [Seek the best artificial intelligence method for diagnosis of melanoma.] METHODS: [A total of 2200 dermoscopy images were used for contrast test. Image segmentations, feature extractions and classifications were

2019 Journal of American Academy of Dermatology

51. Artificial intelligence based discovery of the association between depression and chronic fatigue syndrome. (Abstract)

Zung Self-Rating Depression Scales and Chalder Fatigue Scales, and meanwhile, to donate plasma and urine samples for 1H NMR-metabolic profiling. Artificial intelligence methods was used to analysis the underlying association between DD and CFS. Principal components analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were used to analyze the metabolic profiles with respect to gender and age. Variable importance in projection and t-test were employed in conjunction with the PLS-DA (...) Artificial intelligence based discovery of the association between depression and chronic fatigue syndrome. Both of the modern medicine and the traditional Chinese medicine classify depressive disorder (DD) and chronic fatigue syndrome (CFS) to one type of disease. Unveiling the association between depressive and the fatigue diseases provides a great opportunity to bridge the modern medicine with the traditional Chinese medicine.In this work, 295 general participants were recruited to complete

2019 Journal of Affective Disorders

52. Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs. Full Text available with Trip Pro

Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs. Sex and age have long been known to affect the ECG. Several biologic variables and anatomic factors may contribute to sex and age-related differences on the ECG. We hypothesized that a convolutional neural network (CNN) could be trained through a process called deep learning to predict a person's age and self-reported sex using only 12-lead ECG signals. We further hypothesized that discrepancies between CNN (...) -predicted age and chronological age may serve as a physiological measure of health.We trained CNNs using 10-second samples of 12-lead ECG signals from 499 727 patients to predict sex and age. The networks were tested on a separate cohort of 275 056 patients. Subsequently, 100 randomly selected patients with multiple ECGs over the course of decades were identified to assess within-individual accuracy of CNN age estimation.Of 275 056 patients tested, 52% were males and mean age was 58.6±16.2 years

2019 Circulation. Arrhythmia and electrophysiology

53. Artificial Intelligence for Aortic Pressure Waveform Analysis During Coronary Angiography: Machine Learning for Patient Safety. (Abstract)

Artificial Intelligence for Aortic Pressure Waveform Analysis During Coronary Angiography: Machine Learning for Patient Safety. The study developed a neural network to perform automated pressure waveform analysis and allow real-time accurate identification of damping.Damping of aortic pressure during coronary angiography must be identified to avoid serious complications and make accurate coronary physiology measurements. There are currently no automated methods to do this, and so identification (...) of damping requires constant monitoring, which is prone to human error.The neural network was trained and tested versus core laboratory expert opinions derived from 2 separate datasets. A total of 5,709 aortic pressure waveforms of individual heart beats were extracted and classified. The study developed a recurrent convolutional neural network to classify beats as either normal, showing damping, or artifactual. Accuracies were reported using the opinions of 2 independent core laboratories.The neural

2019 JACC. Cardiovascular interventions

54. Impact of gestational age on child intelligence, attention and executive function at age 5: a cohort study. Full Text available with Trip Pro

in a population of Danish children aged 5 years.Population-based prospective cohort study.Denmark 2003-2008.A cohort of 1776 children and their mothers sampled from the Danish National Birth Cohort with information on GA, family and background factors and completed neuropsychological assessment at age 5.Wechsler Preschool and Primary Scale of Intelligence-Revised, Test of Everyday Attention for Children at Five and Behaviour Rating Inventory of Executive Function scores.For preterm birth <34 weeks GA (n=8 (...) Impact of gestational age on child intelligence, attention and executive function at age 5: a cohort study. Preterm birth can affect cognition, but other factors including parental education and intelligence may also play a role, but few studies have adjusted for these potential confounders. We aimed to assess the impact of gestational age (GA), late preterm birth (34 to <37 weeks GA) and very to moderately preterm birth (<34 weeks GA) on intelligence, attention and executive function

2019 BMJ open

55. Intelligence in young adulthood and alcohol use disorders in a prospective cohort study of Danish men: the role of psychiatric disorders and parental psychiatric history. Full Text available with Trip Pro

of intelligence test scores from draft board examinations and register data on AUD diagnoses during 36 years of follow-up.Denmark.3287 Danish men from the Copenhagen Perinatal Cohort (born 1959-1961) who appeared before the draft board at a mean age of 18.7 years.First registration with AUD during follow-up was the primary outcome. Information on AUD was based on diagnoses retrieved from national hospital and outpatient treatment registers, defined according to the International Classification of Diseases.361 (...) Intelligence in young adulthood and alcohol use disorders in a prospective cohort study of Danish men: the role of psychiatric disorders and parental psychiatric history. The aims were to estimate the association between intelligence measured in young adulthood and risk of alcohol use disorders (AUD) in men and to investigate the potential modification of this association by psychiatric disorders, parental AUD and parental psychiatric disorders.Prospective cohort study based on a linkage

2019 BMJ open

56. Synergistic Benefits of Combined Aerobic and Cognitive Training on Fluid Intelligence and the Role of IGF-1 in Chronic Stroke. (Abstract)

interventions: Aerobic (>60% VO2peak using <10% body weight-supported treadmill) or Activity (range of movement and functional tasks). Exercise was paired with 1 of 2 cognitive interventions (computerized dual working memory training [COG] or control computer games [Games]). The primary outcome for the 4 groups (Aerobic + COG, Aerobic + Games, Activity + COG, and Activity + Games) was fluid intelligence measured using Raven's Progressive Matrices Test administered at baseline, posttraining, and 3-month (...) follow-up. Serum neurotrophins collected at one site (N = 30) included brain-derived neurotrophic factor (BDNF) at rest (BDNFresting) and after a graded exercise test (BDNFresponse) and insulin-like growth factor-1 at the same timepoints (IGF-1rest, IGF-1response).At follow-up, fluid intelligence scores significantly improved compared to baseline in the Aerobic + COG and Activity + COG groups; however, only the Aerobic + COG group was significantly different (+47.8%) from control (Activity + Games

2019 Neurorehabilitation and neural repair Controlled trial quality: uncertain

57. Applying mindfulness training to enhance the mental toughness and emotional intelligence of amateur basketball players. (Abstract)

Applying mindfulness training to enhance the mental toughness and emotional intelligence of amateur basketball players. Mindfulness is a proven treatment in clinical settings. Our objective was to examine the feasibility and effect of a mindfulness-training program on the mental resilience and emotional intelligence of amateur basketball players.This was a parallel-group, pre- and post- test, randomised controlled trial. Thirty male amateur male basketball players from Tehran, Iran, were (...) assigned randomly into experimental and control groups (n = 15 each). Outcomes were measured using the mindfulness sport inventory, mental toughness (MT) questionnaire and emotional intelligence questionnaire. Data were analysed using ANCOVA and MANCOVA.Mindfulness scores were significantly greater in the intervention group than in the controls following training. The intervention also increased overall MT and all of the component sub scores. The same applied to emotional intelligence and all of its

2019 Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists Controlled trial quality: uncertain

58. Study Protocol for the Effects of Artificial Intelligence (AI)-Supported Automated Nutritional Intervention on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Full Text available with Trip Pro

Study Protocol for the Effects of Artificial Intelligence (AI)-Supported Automated Nutritional Intervention on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Nutritional intervention is effective in improving glycemic control in patients with type 2 diabetes but requires large inputs of manpower. Recent improvements in photo analysis technology facilitated by artificial intelligence (AI) and remote communication technologies have enabled automated evaluations of nutrient intakes (...) . AI- and mobile-supported nutritional intervention is expected to be an alternative approach to conventional in-person nutritional intervention, but with less human resources, although supporting evidence is not yet complete. The aim of this study is to test the hypothesis that AI-supported nutritional intervention is as efficacious as the in-person, face-to-face method in terms of improving glycemic control in patients with type 2 diabetes.This is a multicenter, unblinded, parallel, randomized

2019 Diabetes therapy : research, treatment and education of diabetes and related disorders Controlled trial quality: uncertain

59. What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review. (Abstract)

What Are the Applications and Limitations of Artificial Intelligence for Fracture Detection and Classification in Orthopaedic Trauma Imaging? A Systematic Review. Artificial-intelligence algorithms derive rules and patterns from large amounts of data to calculate the probabilities of various outcomes using new sets of similar data. In medicine, artificial intelligence (AI) has been applied primarily to image-recognition diagnostic tasks and evaluating the probabilities of particular outcomes (...) , Embase, and Cochrane databases were systematically searched from the start of each respective database until September 6, 2018, using terms related to "fracture", "artificial intelligence", and "detection, prediction, or evaluation." Of 1221 identified studies, we retained 10 studies: eight studies involved fracture detection (ankle, hand, hip, spine, wrist, and ulna), one addressed fracture classification (diaphyseal femur), and one addressed both fracture detection and classification (proximal

2019 Clinical Orthopaedics and Related Research

60. Building the case for actionable ethics in digital health research supported by artificial intelligence. Full Text available with Trip Pro

data gathered using these technologies is unprecedented, and is increasingly leveraged to inform personalized health promotion and disease treatment interventions. The use of artificial intelligence in the health sector is also increasing. Although rich with potential, the digital health ecosystem presents new ethical challenges for those making decisions about the selection, testing, implementation and evaluation of technologies for use in healthcare. As the 'Wild West' of digital health research (...) Building the case for actionable ethics in digital health research supported by artificial intelligence. The digital revolution is disrupting the ways in which health research is conducted, and subsequently, changing healthcare. Direct-to-consumer wellness products and mobile apps, pervasive sensor technologies and access to social network data offer exciting opportunities for researchers to passively observe and/or track patients 'in the wild' and 24/7. The volume of granular personal health

2019 BMC Medicine

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