How to Trip Rapid Review

Step 1: Select articles relevant to your search (remember the system is only optimised for single intervention studies)

Step 2: press

Step 3: review the result, and maybe amend the or if you know better! If we're unsure of the overall sentiment of the trial we will display the conclusion under the article title. We then require you to tell us what the correct sentiment is.

6,228 results for

Intelligence Testing

by
...
Latest & greatest
Alerts

Export results

Use check boxes to select individual results below

SmartSearch available

Trip's SmartSearch engine has discovered connected searches & results. Click to show

121. A Cross-Sectional Study of Emotional Intelligence in Military General Surgery Residents. (PubMed)

A Cross-Sectional Study of Emotional Intelligence in Military General Surgery Residents. Higher emotional Intelligence (EI) is linked to improved doctor-patient relationships, empathy, teamwork, communication skills, stress management, and leadership in medicine. This study analyzes the effects of age, postgraduate year (PGY), gender, and prior military experience on EI in military general surgery residents, and compares these to the general population and civilian surgery residents.This (...) is a retrospective, observational study. Results were analyzed using independent sample t test and linear regression to compare general surgery residents with the normative population and civilian general surgery residents.The general surgery department at Walter Reed National Military Medical Center, a single-center, academic institution.All general surgery residents, PGY 1 to 6, were surveyed at the beginning of academic year, in June 2016.There were no statistically discernable differences in global EI

2018 Journal of Surgical Education

122. Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment

Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment - Full Text View - ClinicalTrials.gov Hide glossary Glossary Study record managers: refer to the if submitting registration or results information. Search for terms x × Study Record Detail Saved Studies Save this study Warning You have reached the maximum number of saved studies (100). Please remove one or more studies before (...) adding more. Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our for details. ClinicalTrials.gov Identifier: NCT03530098 Recruitment Status : Enrolling by invitation First Posted : May 21, 2018 Last Update Posted : February 20, 2019 Sponsor: Stanford University

2018 Clinical Trials

123. Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease

Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease - Full Text View - ClinicalTrials.gov Hide glossary Glossary Study record managers: refer to the if submitting registration or results information. Search for terms x × Study Record Detail Saved Studies Save this study Warning You have reached the maximum number of saved studies (100). Please remove one or more studies before adding more (...) . Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease (ARISES) The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. of clinical studies and talk to your health care provider before participating. Read our for details. ClinicalTrials.gov Identifier: NCT03643692 Recruitment Status : Recruiting First Posted : August 23, 2018 Last Update

2018 Clinical Trials

124. Programming Cochlear Implant With Artificial Intelligence

'. The investigators want to compare, objectify, and control this new mode of programming. The study is planned over 4 years, in order to test, randomized, 15 subjects with manual programming and 15 other subjects with Artificial Intelligence programming. To test the performance of Cochlear Implant patients, audiological, language auditory perception and questionnaire tests will be presented. This research aims to determine the contribution and results of Artificial Intelligence programming. Condition or disease (...) test the 22 electrodes so that the patient is able to hear the language Experimental: Artificial Intelligence The patient is receiving the new treatment : 4 sessions of 1 hour during one year where the clinician programs the Cochlear implant with the FOX (Fitting to Outcome eXpert) software using artificial intelligence. Other: Manual intervention to programme Cochlear Implant electrodes The Clinician test the 22 electrodes so that the patient is able to hear the language Outcome Measures Go

2018 Clinical Trials

125. Artificial Intelligence-assisted Glaucoma Screening (AIAGS)

General Hospital, Shanghai Jiao Tong University School of Medicine Information provided by (Responsible Party): Haiyan Wang, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine Study Details Study Description Go to Brief Summary: This study will develop an artificial intelligence (AI) program for the screening of glaucoma. Condition or disease Intervention/treatment Glaucoma Eye Diagnostic Test: Fundus Image Detailed Description: We have realized that the glaucomatous optic (...) Artificial Intelligence-assisted Glaucoma Screening (AIAGS) Artificial Intelligence-assisted Glaucoma Screening (AIAGS) - Full Text View - ClinicalTrials.gov Hide glossary Glossary Study record managers: refer to the if submitting registration or results information. Search for terms x × Study Record Detail Saved Studies Save this study Warning You have reached the maximum number of saved studies (100). Please remove one or more studies before adding more. Artificial Intelligence-assisted

2018 Clinical Trials

126. Effectiveness of clobazam on perception, creativity, intelligence, selective and visual memory. (PubMed)

" which contained 15 young healthy volunteers. The "placebo group" also entailed 15 subjects and each was administered with placebo drug. The controlled group‟ also included 15 subjects. All these 45 young healthy subjects were subjected to tests for perceptual learning, creativity, selective memory, visual memory and intelligence. Results clearly demonstrated significant impact of clobazam at the dose of 5mg/day on perceptual learning (P=0.0380), creativity (P=0.0787), memory function (P=0.4920 (...) Effectiveness of clobazam on perception, creativity, intelligence, selective and visual memory. Clobazam belongs to benzodiazepine class and is preferably used against anti-epileptic disorders. However, when used in reduced doses, its ability for improving cognitive functions becomes explicitly evident. This study objectively undertook the task of using the reduced doses of clobazam for proving potentials effects on cognitive functions. The drug, clobazam was administered in "active group

2018 Pakistan journal of pharmaceutical sciences

127. Maximum Swing Flexion or Gait Symmetry: A Comparative Evaluation of Control Targets on Metabolic Energy Expenditure of Amputee Using Intelligent Prosthetic Knee. (PubMed)

Maximum Swing Flexion or Gait Symmetry: A Comparative Evaluation of Control Targets on Metabolic Energy Expenditure of Amputee Using Intelligent Prosthetic Knee. The metabolic energy expenditure (MEE) was the most important assessment standard of intelligent prosthetic knee (IPK). Maximum swing flexion (MSF) angle and gait symmetry (GS) were two control targets representing different developing directions for IPK. However, the few comparisons based on MEE assessment between the MSF and GS (...) consumption analysis during walking at different speeds on a treadmill was carried out.All subjects showed increased oxygen consumption as walking speed increased. However, no statistically significant differences were found in oxygen consumption for different control targets. The ANOVA test showed that the overall effects of the control targets of the prosthetic knee on oxygen consumption were not significant across all walking speeds.The control targets of MSF and GS showed no significant differences

Full Text available with Trip Pro

2018 BioMed research international

128. Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial. (PubMed)

Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial. Students in need of mental health care face many barriers including cost, location, availability, and stigma. Studies show that computer-assisted therapy and 1 conversational chatbot delivering cognitive behavioral therapy (CBT) offer a less-intensive and more cost-effective alternative for treating depression and anxiety. Although CBT is one of the most effective (...) treatment methods, applying an integrative approach has been linked to equally effective posttreatment improvement. Integrative psychological artificial intelligence (AI) offers a scalable solution as the demand for affordable, convenient, lasting, and secure support grows.This study aimed to assess the feasibility and efficacy of using an integrative psychological AI, Tess, to reduce self-identified symptoms of depression and anxiety in college students.In this randomized controlled trial, 75

Full Text available with Trip Pro

2018 JMIR mental health

129. Three-dimensional Visualization Software Assists Learning in Students with Diverse Spatial Intelligence in Medical Education. (PubMed)

Three-dimensional Visualization Software Assists Learning in Students with Diverse Spatial Intelligence in Medical Education. This study evaluated effect of mental rotation (MR) training on learning outcomes and explored effectiveness of teaching via three-dimensional (3D) software among medical students with diverse spatial intelligence. Data from n = 67 student volunteers were included. A preliminary test was conducted to obtain baseline level of MR competency and was utilized to assign (...) participants to two experimental conditions, i.e., trained group (n = 25) and untrained group (n = 42). Data on the effectiveness of training were collected to measure participants' speed and accuracy in performing various MR activities. Six weeks later, a large class format (LCF) session was conducted for all students using 3D software. The usefulness of technology-assisted learning at the LCF was evaluated via a pre- and post-test. Students' feedback regarding MR training and use of 3D software

2018 Anatomical sciences education

130. Associations between emotional intelligence, empathy and personality in Japanese medical students (PubMed)

Associations between emotional intelligence, empathy and personality in Japanese medical students It is known that empathic communication is important for physicians to achieve higher patient satisfaction and health outcomes. Emotional intelligence (EI), empathy and personality in medical students predict students' individual disposition and their emotional and empathic perceptions. This study aimed to investigate: 1) The association between empathy, EI and personality, and 2) Gender (...) differences in the association between empathy, EI and personality.Participants were 357 1st year medical students from 2008 to 2011 at one medical school in Japan. Students completed self-report questionnaires comprising three validated instruments measuring EI: Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF), empathy: Jefferson Scale of Physician Empathy- student version (JSPE) and personality: NEO-Five-Factor Inventory (NEO-FFI), which explores 5 dimensions of personality Neuroticism

Full Text available with Trip Pro

2018 BMC medical education

131. The SNARC effect is associated with worse mathematical intelligence and poorer time estimation (PubMed)

by the SNARC effect: faster left-side responses to small single digits, like 1 or 2, and faster right-side responses to large ones, like 8 or 9. Previously, we found that time estimation predicts mathematical intelligence and speculated that it may predict spatial ability too. Here, addressing this issue, we test-on a relatively large sample of adults and entirely within subjects-the relationships between (a) time: proficiency at producing and evaluating durations shorter than one second, (b) space (...) The SNARC effect is associated with worse mathematical intelligence and poorer time estimation Interactions between the ways we process space, numbers and time may arise from shared and innate generic magnitude representations. Alternatively or concurrently, such interactions could be due to the use of physical magnitudes, like spatial extent, as metaphors for more abstract ones, like number and duration. That numbers might be spatially represented along a mental number line is suggested

Full Text available with Trip Pro

2018 Royal Society Open Science

132. Artificial Intelligence Approaches in Hematopoietic Cell Transplantation: A Review of the Current Status and Future Directions (PubMed)

Artificial Intelligence Approaches in Hematopoietic Cell Transplantation: A Review of the Current Status and Future Directions The evidence-based literature on healthcare is currently expanding exponentially. The opportunities provided by the advancement in artificial intelligence (AI) tools such as machine learning are appealing in tackling many of the current healthcare challenges. Thus, AI integration is expanding in most fields of healthcare, including the field of hematology. This study (...) showed that the integration of AI in the field of HCT has grown remarkably in the last decade and offers promising avenues in diagnosis and prognosis in HCT populations targeting both pre- and post-transplant challenges. Studies of AI integration in HCT have many limitations that include poorly tested algorithms, lack of generalizability, and limited use of different AI tools. Machine learning techniques in HCT are an intense area of research that needs much development and extensive support from

Full Text available with Trip Pro

2018 Turkish Journal of Hematology

133. Towards Intelligent Drug Design System: Application of Artificial Dipeptide Receptor Library in QSAR-Oriented Studies (PubMed)

Towards Intelligent Drug Design System: Application of Artificial Dipeptide Receptor Library in QSAR-Oriented Studies The pharmacophore properties of a new series of potential purinoreceptor (P2X) inhibitors determined using a coupled neural network and the partial least squares method with iterative variable elimination (IVE-PLS) are presented in a ligand-based comparative study of the molecular surface by comparative molecular surface analysis (CoMSA). Moreover, we focused (...) and Phe bonded to the linker m-phenylenediamine/triazine scaffold was revealed by the PCA. The IVE-PLS procedure indicated the receptor systems with predominant Pro bonded to the linker and Glu, Gln, Cys and Val directly attached to the gating acid. The proposed comprehensive ligand-based and simplified structure-based methodology allows the in-depth study of the performance of peptide receptors against the tested set of compounds.

Full Text available with Trip Pro

2018 Molecules : A Journal of Synthetic Chemistry and Natural Product Chemistry

134. An intraspecific appraisal of the social intelligence hypothesis (PubMed)

An intraspecific appraisal of the social intelligence hypothesis The prevailing hypotheses for the evolution of cognition focus on either the demands associated with group living (the social intelligence hypothesis (SIH)) or ecological challenges such as finding food. Comparative studies testing these hypotheses have generated highly conflicting results; consequently, our understanding of the drivers of cognitive evolution remains limited. To understand how selection shapes cognition, research

Full Text available with Trip Pro

2018 Philosophical Transactions of the Royal Society B: Biological Sciences

135. A Comprehensive Feature Analysis of the Fetal Heart Rate Signal for the Intelligent Assessment of Fetal State (PubMed)

A Comprehensive Feature Analysis of the Fetal Heart Rate Signal for the Intelligent Assessment of Fetal State Continuous monitoring of the fetal heart rate (FHR) signal has been widely used to allow obstetricians to obtain detailed physiological information about newborns. However, visual interpretation of FHR traces causes inter-observer and intra-observer variability. Therefore, this study proposed a novel computerized analysis software of the FHR signal (CAS-FHR), aimed at providing medical (...) decision support. First, to the best of our knowledge, the software extracted the most comprehensive features (47) from different domains, including morphological, time, and frequency and nonlinear domains. Then, for the intelligent assessment of fetal state, three representative machine learning algorithms (decision tree (DT), support vector machine (SVM), and adaptive boosting (AdaBoost)) were chosen to execute the classification stage. To improve the performance, feature selection/dimensionality

Full Text available with Trip Pro

2018 Journal of clinical medicine

136. “Plutchik”: artificial intelligence chatbot for searching NCBI databases (PubMed)

“Plutchik”: artificial intelligence chatbot for searching NCBI databases As genetic testing gains ground in medicine, the ability to search across the suite of biomedical and clinical care databases offered through the National Library of Medicine/National Center for Biotechnology Information (NCBI)-such as PubMed, GENE, Structure, the Genetic Testing Registry, and others-holds the potential to enhance quality of clinical care best practices. "Plutchik" is a voice-enabled, embodied (...) artificial intelligence (AI) chatbot that can perform highly technical medical searches in and across the NCBI suite of databases.

Full Text available with Trip Pro

2018 Journal of the Medical Library Association : JMLA

137. Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data (PubMed)

an independent sample t-test. We further developed a supervised machine-learning-based prediction model to predict event or no-event based on the sensor data and demographic information. A mean area under curve (ROC AUC) of 90.16% with 96.21% mean precision, and 88.47% mean recall was achieved. Our findings point towards the novel use of non-contact sensors in clinical settings to monitor the vital parameters of patients and the further development of early warning solutions using artificial intelligence (AI (...) Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data Non-contact sensors are gaining popularity in clinical settings to monitor the vital parameters of patients. In this study, we used a non-contact sensor device to monitor vital parameters like the heart rate, respiration rate, and heart rate variability of hemodialysis (HD) patients for a period of 23 weeks during their HD sessions. During these 23 weeks, a total number of 3237

Full Text available with Trip Pro

2018 Sensors (Basel, Switzerland)

138. The Power of EI Competencies Over Intelligence and Individual Performance: A Task-Dependent Model (PubMed)

The Power of EI Competencies Over Intelligence and Individual Performance: A Task-Dependent Model Prior research on emotional intelligence (EI) has highlighted the use of incremental models that assume EI and general intelligence (or g) make independent contributions to performance. Questioning this assumption, we study EI's moderation power over the relationship between g and individual performance, by designing and testing a task-dependent interaction model. Reconciling divergent findings

Full Text available with Trip Pro

2018 Frontiers in psychology

139. Functional diversity of brain networks supports consciousness and verbal intelligence (PubMed)

these systems in response to external stimulation predicted higher intellectual abilities during conscious cognition, in particular higher verbal acuity scores in independent cognitive testing battery. These convergent findings suggest that the responsivity of sensory and higher-order brain systems to external stimulation, especially through the diversification of their functional responses is an essential feature of conscious cognition and verbal intelligence. (...) Functional diversity of brain networks supports consciousness and verbal intelligence How are the myriad stimuli arriving at our senses transformed into conscious thought? To address this question, in a series of studies, we asked whether a common mechanism underlies loss of information processing in unconscious states across different conditions, which could shed light on the brain mechanisms of conscious cognition. With a novel approach, we brought together for the first time, data from

Full Text available with Trip Pro

2018 Scientific reports

140. Self-Adjusted Amplification Parameters Produce Large Between-Subject Variability and Preserve Speech Intelligibility (PubMed)

and audiologist-fit gain indicated consistent within-subject performance but a great deal of between-subject variability. Gain selection did not strongly affect intelligibility within the range of signal-to-noise ratios tested. Implications from the findings are that individual listeners have consistent preferences for gain and may prefer gain configurations that differ greatly from National Acoustic Laboratories-based prescriptions in quiet and in noise. (...) Self-Adjusted Amplification Parameters Produce Large Between-Subject Variability and Preserve Speech Intelligibility The current study used the self-fitting algorithm to allow listeners to self-adjust hearing-aid gain or compression parameters to select gain for speech understanding in a variety of quiet and noise conditions. Thirty listeners with mild to moderate sensorineural hearing loss adjusted gain parameters in quiet and in several types of noise. Outcomes from self-adjusted gain

Full Text available with Trip Pro

2018 Trends in hearing

To help you find the content you need quickly, you can filter your results via the categories on the right-hand side >>>>