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Intelligence Testing

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121. 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

122. 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

123. 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

124. 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

125. 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

126. 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

127. 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

128. 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

129. Synergistic Benefits of Combined Aerobic and Cognitive Training on Fluid Intelligence and the Role of IGF-1 in Chronic Stroke. Full Text available with Trip Pro

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

130. 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

131. 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

132. 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

133. 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

134. 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

135. Modulating fluid intelligence performance through combined cognitive training and brain stimulation. Full Text available with Trip Pro

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

136. 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

137. A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study. Full Text available with Trip Pro

A Virtual Counseling Application Using Artificial Intelligence for Communication Skills Training in Nursing Education: Development Study. The ability of nursing undergraduates to communicate effectively with health care providers, patients, and their family members is crucial to their nursing professions as these can affect patient outcomes. However, the traditional use of didactic lectures for communication skills training is ineffective, and the use of standardized patients is not time (...) - or cost-effective. Given the abilities of virtual patients (VPs) to simulate interactive and authentic clinical scenarios in secured environments with unlimited training attempts, a virtual counseling application is an ideal platform for nursing students to hone their communication skills before their clinical postings.The aim of this study was to develop and test the use of VPs to better prepare nursing undergraduates for communicating with real-life patients, their family members, and other health

2019 Journal of medical Internet research

138. The Last Mile: Where Artificial Intelligence Meets Reality. Full Text available with Trip Pro

development through to eventual deployment, there are strong reasons to take a more agile approach, iteratively developing and testing artificial intelligence within the context in which it finally will be used.©Enrico Coiera. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 08.11.2019. (...) The Last Mile: Where Artificial Intelligence Meets Reality. Although much effort is focused on improving the technical performance of artificial intelligence, there are compelling reasons to focus more on the implementation of this technology class to solve real-world applications. In this "last mile" of implementation lie many complex challenges that may make technically high-performing systems perform poorly. Instead of viewing artificial intelligence development as a linear one of algorithm

2019 Journal of medical Internet research

139. Creating performance intelligence for primary health care strengthening in Europe. Full Text available with Trip Pro

Creating performance intelligence for primary health care strengthening in Europe. Primary health care and its strengthening through performance measurement is essential for sustainably working towards universal health coverage. Existing performance frameworks and indicators to measure primary health care capture system functions like governance, financing and resourcing but to a lesser extent the function of services delivery and its heterogeneous nature. Moreover, most frameworks have weak (...) links with routine information systems and national health priorities, especially in the context of high- and middle-income countries. This paper presents the development of a tool that responds to this context with the aim to create primary health care performance intelligence for the 53 countries of the WHO European Region.The work builds-off of an existing systematic review on primary care and draws on priorities of current European health policies and available (inter)national information

2019 BMC health services research

140. Key challenges for delivering clinical impact with artificial intelligence. Full Text available with Trip Pro

Key challenges for delivering clinical impact with artificial intelligence. Artificial intelligence (AI) research in healthcare is accelerating rapidly, with potential applications being demonstrated across various domains of medicine. However, there are currently limited examples of such techniques being successfully deployed into clinical practice. This article explores the main challenges and limitations of AI in healthcare, and considers the steps required to translate these potentially (...) of independent, local and representative test sets. Developers of AI algorithms must be vigilant to potential dangers, including dataset shift, accidental fitting of confounders, unintended discriminatory bias, the challenges of generalisation to new populations, and the unintended negative consequences of new algorithms on health outcomes.The safe and timely translation of AI research into clinically validated and appropriately regulated systems that can benefit everyone is challenging. Robust clinical

2019 BMC Medicine

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