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

141. Effect of Hearing Aid Directionality and Remote Microphone on Speech Intelligibility in Complex Listening Situations (PubMed)

in complex listening situations in the laboratory. Speech intelligibility was investigated in 15 experienced severely hearing impaired participants in a noisy environment using a dual-task test paradigm where the tasks were presented from either a near field or a far field loudspeaker. Primary and secondary tasks were presented simultaneously so attention had to be shared on both tasks. In a second experiment, two speech intelligibility tests were presented from either the near field or the far field (...) confirmed by the results of the interleaved speech intelligibility test.

Full Text available with Trip Pro

2018 Trends in hearing

142. Creativity Style and Achievements: An Investigation on the Role of Emotional Competence, Individual Differences, and Psychometric Intelligence (PubMed)

(EC) predicted creativity. We selected a sample of 376 participants aged 12-88 (mean age = 30.28 years, SD = 19.09 years; 224 females) to evaluate relationships between these constructs across lifespan. Participants were administered the Kaufman Brief Intelligence Test-2, the Short Profile of EC, the Creativity Style Questionnaire Revised (CSQ-R) and the Creative Achievement Questionnaire (CAQ). T-test on gender differences evidenced that males had higher creativity achievements compared (...) Creativity Style and Achievements: An Investigation on the Role of Emotional Competence, Individual Differences, and Psychometric Intelligence Psychometric and emotional intelligence are considered as two separate theoretical constructs, although each one has been found to correlate to a certain degree with measures of creativity. The aim of the present study was to analyze whether individual differences such as age and gender, together with psychometric intelligence and emotional competence

Full Text available with Trip Pro

2018 Frontiers in psychology

143. Association between lower estimated premorbid intelligence quotient and smoking behavior in patients with schizophrenia (PubMed)

for age, sex, and ethnicity (Japanese). Premorbid intelligence quotient was estimated using the Japanese Adult Reading Test and distress symptoms were assessed using the Hopkins Symptom Check List. Current smoking information was collected according to self-declarations.As expected, the smoking rate was higher, while mean education level and Japanese Adult Reading Test scores were significantly lower, in patients with schizophrenia than in healthy individuals (p < 0.01). The mean education level (...) Association between lower estimated premorbid intelligence quotient and smoking behavior in patients with schizophrenia We aimed to investigate the involvement of premorbid intelligence quotient in higher prevalence of smoking in patients with schizophrenia.Participants included 190 patients with schizophrenia (mean ± standard deviation age: 37.7 ± 10.8 years; 88 males and 102 females) and 312 healthy individuals (mean ± standard deviation age: 38.1 ± 13.8; 166 males and 146 females), matched

Full Text available with Trip Pro

2018 Schizophrenia Research: Cognition

144. The Self-Assessed Békesy Procedure: Validation of a Method to Measure Intelligibility of Connected Discourse (PubMed)

The Self-Assessed Békesy Procedure: Validation of a Method to Measure Intelligibility of Connected Discourse In clinical practice and research, speech intelligibility is generally measured by instructing the participant to recall sentences. Although this is a reliable and highly repeatable measure, it cannot be used to measure intelligibility of connected discourse. Therefore, we developed a new method, the self-assessed Békesy procedure, which is an adaptive procedure that uses (...) intelligibility ratings to converge to a person's speech reception threshold. In this study, we describe the new procedure and the validation in young, normal-hearing listeners. First, we compared the results on the self-assessed Békesy procedure to a recall procedure for standardized sentences. Next, we evaluated the inter- and intrasubject variability of our procedure. Furthermore, we compared the thresholds for sentences in three masker types between the self-assessed Békesy and a recall procedure

Full Text available with Trip Pro

2018 Trends in hearing

145. Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFR<sub>ML</sub>): Impact of iterative and filtered back projection reconstruction techniques. (PubMed)

Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques. The influence of computed tomography (CT) reconstruction algorithms on the performance of machine-learning-based CT-derived fractional flow reserve (CT-FFRML) has not been investigated. CT-FFRML values and processing time of two reconstruction algorithms were compared using an on-site workstation.CT-FFRML (...) was computed on 40 coronary CT angiography (CCTA) datasets that were reconstructed with both iterative reconstruction in image space (IRIS) and filtered back-projection (FBP) algorithms. CT-FFRML was computed on a per-vessel and per-segment basis as well as distal to lesions with ≥50% stenosis on CCTA. Processing times were recorded. Significant flow-limiting stenosis was defined as invasive FFR and CT-FFRML values ≤ 0.80. Pearson's correlation, Wilcoxon, and McNemar statistical testing were used for data

2018 Journal of cardiovascular computed tomography

146. Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases

Perspective: Cross-Sectional Official Title: Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases Actual Study Start Date : July 10, 2017 Estimated Primary Completion Date : December 31, 2019 Estimated Study Completion Date : February 28, 2020 Resource links provided by the National Library of Medicine related topics: Groups and Cohorts Go to Group/Cohort Intervention/treatment Model establishment and test group Patients undergoing coronary (...) Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases - 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

2018 Clinical Trials

147. Artificial intelligence in medicine: not ready for prime time

Artificial intelligence in medicine: not ready for prime time Artificial intelligence in medicine: not ready for prime time Artificial intelligence in medicine: not ready for prime time | | August 23, 2018 14 Shares July was an interesting month for artificial intelligence in medicine. A study from MIT found when human doctors order tests on patients, they factor in something that artificial intelligence is not currently aware of. The authors analyzed charts of about 60,000 ICU patients (...) admitted to Beth Israel Deaconess Medical Center in Boston. By looking at physician progress notes with positive or negative sentiments in patient records, they derived scores which they correlated with the number of diagnostic imaging tests that were ordered. When other factors were controlled for, medical data alone did not drive the ordering of tests, but the sentiments of doctors could predict how many tests were ordered. Pessimistic doctors ordered more testing at first, but later when

2018 KevinMD blog

148. Association between intelligence quotient and violence perpetration in the English general population. (PubMed)

Association between intelligence quotient and violence perpetration in the English general population. Data on the relationship between intelligence quotient (IQ) and violence perpetration are scarce and nationally representative data from the UK adult population is lacking. Therefore, our goal was to examine the relationship between IQ and violence perpetration using nationally representative community-based data from the UK.We analyzed cross-sectional data from the 2007 Adult Psychiatric (...) Morbidity Survey. IQ was estimated using the National Adult Reading Test (NART). Violence perpetration referred to being in a physical fight or having deliberately hit anyone in the past 5 years. We conducted logistic regression analysis to assess the association between IQ (exposure variable) and violence perpetration (outcome variable).There were 6872 participants aged ⩾16 years included in this study. The prevalence of violence perpetration decreased linearly with increasing IQ [16.3% (IQ 70-79) v

2018 Psychological Medicine

149. Enhanced tomographic assessment to detect corneal ectasia based on artificial intelligence. (PubMed)

Enhanced tomographic assessment to detect corneal ectasia based on artificial intelligence. To improve the detection of corneal ectasia susceptibility using tomographic data.Multicenter case-control study.Data from patients from 5 different clinics from South America, the United States, and Europe were evaluated. Artificial intelligence (AI) models were generated using Pentacam HR (Oculus, Wetzlar, Germany) parameters to discriminate the preoperative data of 3 groups: stable laser-assisted (...) in situ keratomileusis (LASIK) cases (2980 patients with minimum follow-up of 7 years), ectasia susceptibility (71 eyes of 45 patients that developed post-LASIK ectasia [PLE]), and clinical keratoconus (KC; 182 patients). Model accuracy was independently tested in a different set of stable LASIK cases (298 patients with minimum follow-up of 4 years) and in 188 unoperated patients with very asymmetric ectasia (VAE); these patients presented normal topography (VAE-NT) in 1 eye and clinically diagnosed

2018 American Journal of Ophthalmology

150. The diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks. (PubMed)

The diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks. The prognosis of esophageal cancer is relatively poor. Patients are usually diagnosed at an advanced stage when it is often too late for effective treatment. Recently, artificial intelligence (AI) using deep learning has made remarkable progress in medicine. However, there are no reports on its application for diagnosing esophageal cancer. Here, we demonstrate the diagnostic ability (...) of AI to detect esophageal cancer including squamous cell carcinoma and adenocarcinoma.We retrospectively collected 8428 training images of esophageal cancer from 384 patients at the Cancer Institute Hospital, Japan. Using these, we developed deep learning through convolutional neural networks (CNNs). We also prepared 1118 test images for 47 patients with 49 esophageal cancers and 50 patients without esophageal cancer to evaluate the diagnostic accuracy.The CNN took 27 seconds to analyze 1118 test

2018 Gastrointestinal endoscopy

151. The influence of childhood intelligence, social class, education and social mobility on memory and memory decline in late life. (PubMed)

The influence of childhood intelligence, social class, education and social mobility on memory and memory decline in late life. In an observational longitudinal study of a sub-sample of the Aberdeen 1936 birth cohort, from age 62 to 77 years, we investigated childhood intelligence, social class, education, life-course social mobility, memory test performance and memory decline in late life. We examined 388 local residents who had attended school in Aberdeen in 1947 and measured Auditory-Verbal (...) Learning Test (AVLT) at recruitment age about 64 years and up to five times until age about 77 years. Better performance at age about 64 on AVLT was predicted by early socioeconomic status (SES), social mobility and childhood intelligence. The trajectory of AVLT decline was steeper in those who had received less education. This relationship was independent of childhood ability, sex, SES in childhood and social mobility. The protection of memory by education suggests that education supports resilience

Full Text available with Trip Pro

2018 Age and ageing

152. Macular Vessel Density and Ganglion Cell/Inner Plexiform Layer Thickness and Their Combinational Index Using Artificial Intelligence. (PubMed)

Macular Vessel Density and Ganglion Cell/Inner Plexiform Layer Thickness and Their Combinational Index Using Artificial Intelligence. To evaluate the relationship between macular vessel density and ganglion cell to inner plexiform layer thickness (GCIPLT) and to compare their diagnostic performance. We attempted to develop a new combined parameter using an artificial neural network.A total of 173 subjects: 100 for the test and 73 for neural net training. The test group consisted of 32 healthy

2018 Journal of Glaucoma

153. Increasing Physical Activity Amongst Overweight and Obese Cancer Survivors Using an Alexa-Based Intelligent Agent for Patient Coaching: Protocol for the Physical Activity by Technology Help (PATH) Trial (PubMed)

Increasing Physical Activity Amongst Overweight and Obese Cancer Survivors Using an Alexa-Based Intelligent Agent for Patient Coaching: Protocol for the Physical Activity by Technology Help (PATH) Trial Physical activity has established health benefits, but motivation and adherence remain challenging.We designed and launched a three-arm randomized trial to test artificial intelligence technology solutions to increase daily physical activity in cancer survivors.A single-center, three-arm (...) randomized clinical trial with an allocation ration of 1:1:1: (A) control, in which participants are provided written materials about the benefits of physical activity; (B) text intervention, where participants receive daily motivation from a fully automated, data-driven algorithmic text message via mobile phone (Coachtext); and (C) Voice Assist intervention, where participants are provided with an in-home on demand autonomous Intelligent Agent using data driven Interactive Digital Voice Assist

Full Text available with Trip Pro

2018 JMIR Research Protocols

154. Automatic detection of mycobacterium tuberculosis using artificial intelligence (PubMed)

Automatic detection of mycobacterium tuberculosis using artificial intelligence Tuberculosis (TB) is a global issue that seriously endangers public health. Pathology is one of the most important means for diagnosing TB in clinical practice. To confirm TB as the diagnosis, finding specially stained TB bacilli under a microscope is critical. Because of the very small size and number of bacilli, it is a time-consuming and strenuous work even for experienced pathologists, and this strenuosity often (...) leads to low detection rate and false diagnoses. We investigated the clinical efficacy of an artificial intelligence (AI)-assisted detection method for acid-fast stained TB bacillus.We built a convolutional neural networks (CNN) model, named tuberculosis AI (TB-AI), specifically to recognize TB bacillus. The training set contains 45 samples, including 30 positive cases and 15 negative cases, where bacilli are labeled by human pathologists. Upon training the neural network model, 201 samples (108

Full Text available with Trip Pro

2018 Journal of thoracic disease

155. Design, Fabrication, and Implementation of an Array-Type MEMS Piezoresistive Intelligent Pressure Sensor System (PubMed)

Design, Fabrication, and Implementation of an Array-Type MEMS Piezoresistive Intelligent Pressure Sensor System To meet the radiosonde requirement of high sensitivity and linearity, this study designs and implements a monolithically integrated array-type piezoresistive intelligent pressure sensor system which is made up of two groups of four pressure sensors with the pressure range of 0⁻50 kPa and 0⁻100 kPa respectively. First, theoretical models and ANSYS (version 14.5, Canonsburg, PA, USA (...) ) and microelectromechanical system (MEMS) process. Furthermore, an intelligent acquisition and processing system for pressure and temperature signals is achieved. The S3C2440A microprocessor (Samsung, Seoul, Korea) is regarded as the core part which can be applied to collect and process data. In particular, digital signal storage, display and transmission are realized by the application of a graphical user interface (GUI) written in QT/E. Besides, for the sake of compensating the temperature drift and nonlinear error

Full Text available with Trip Pro

2018 Micromachines

156. Clinician-Driven Design of VitalPAD–An Intelligent Monitoring and Communication Device to Improve Patient Safety in the Intensive Care Unit (PubMed)

Clinician-Driven Design of VitalPAD–An Intelligent Monitoring and Communication Device to Improve Patient Safety in the Intensive Care Unit The pediatric intensive care unit (ICU) is a complex environment, in which a multidisciplinary team of clinicians (registered nurses, respiratory therapists, and physicians) continually observe and evaluate patient information. Data are provided by multiple, and often physically separated sources, cognitive workload is high, and team communication can (...) be challenging. Our aim is to combine information from multiple monitoring and therapeutic devices in a mobile application, the VitalPAD, to improve the efficiency of clinical decision-making, communication, and thereby patient safety. We observed individual ICU clinicians, multidisciplinary rounds, and handover procedures for 54 h to identify data needs, workflow, and existing cognitive aid use and limitations. A prototype was developed using an iterative participatory design approach; usability testing

Full Text available with Trip Pro

2018 IEEE journal of translational engineering in health and medicine

157. An Analysis of Individual Differences in Recognizing Monosyllabic Words Under the Speech Intelligibility Index Framework (PubMed)

An Analysis of Individual Differences in Recognizing Monosyllabic Words Under the Speech Intelligibility Index Framework Individual differences in the recognition of monosyllabic words, either in isolation (NU6 test) or in sentence context (SPIN test), were investigated under the theoretical framework of the speech intelligibility index (SII). An adaptive psychophysical procedure, namely the quick-band-importance-function procedure, was developed to enable the fitting of the SII model (...) to individual listeners. Using this procedure, the band importance function (i.e., the relative weights of speech information across the spectrum) and the link function relating the SII to recognition scores can be simultaneously estimated while requiring only 200 to 300 trials of testing. Octave-frequency band importance functions and link functions were estimated separately for NU6 and SPIN materials from 30 normal-hearing listeners who were naïve to speech recognition experiments. For each type of speech

Full Text available with Trip Pro

2018 Trends in hearing

158. Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence (PubMed)

Aerial Mapping of Forests Affected by Pathogens Using UAVs, Hyperspectral Sensors, and Artificial Intelligence The environmental and economic impacts of exotic fungal species on natural and plantation forests have been historically catastrophic. Recorded surveillance and control actions are challenging because they are costly, time-consuming, and hazardous in remote areas. Prolonged periods of testing and observation of site-based tests have limitations in verifying the rapid proliferation (...) of exotic pathogens and deterioration rates in hosts. Recent remote sensing approaches have offered fast, broad-scale, and affordable surveys as well as additional indicators that can complement on-ground tests. This paper proposes a framework that consolidates site-based insights and remote sensing capabilities to detect and segment deteriorations by fungal pathogens in natural and plantation forests. This approach is illustrated with an experimentation case of myrtle rust (Austropuccinia psidii

Full Text available with Trip Pro

2018 Sensors (Basel, Switzerland)

159. Artificial Intelligence Approach for Variant Reporting (PubMed)

Artificial Intelligence Approach for Variant Reporting Next-generation sequencing technologies are actively applied in clinical oncology. Bioinformatics pipeline analysis is an integral part of this process; however, humans cannot yet realize the full potential of the highly complex pipeline output. As a result, the decision to include a variant in the final report during routine clinical sign-out remains challenging.We used an artificial intelligence approach to capture the collective clinical (...) sign-out experience of six board-certified molecular pathologists to build and validate a decision support tool for variant reporting. We extracted all reviewed and reported variants from our clinical database and tested several machine learning models. We used 10-fold cross-validation for our variant call prediction model, which derives a contiguous prediction score from 0 to 1 (no to yes) for clinical reporting.For each of the 19,594 initial training variants, our pipeline generates approximately

Full Text available with Trip Pro

2018 JCO clinical cancer informatics

160. Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video). (PubMed)

Fully automated diagnostic system with artificial intelligence using endocytoscopy to identify the presence of histologic inflammation associated with ulcerative colitis (with video). In the treatment of ulcerative colitis (UC), an incremental benefit of achieving histologic healing beyond that of endoscopic mucosal healing has been suggested; persistent histologic inflammation increases the risk of exacerbation and dysplasia. However, identification of persistent histologic inflammation (...) is extremely difficult using conventional endoscopy. Furthermore, the reproducibility of endoscopic disease activity is poor. We developed and evaluated a computer-aided diagnosis (CAD) system to predict persistent histologic inflammation using endocytoscopy (EC; 520-fold ultra-magnifying endoscope).We evaluated the accuracy of the CAD system using test image sets. First, we retrospectively reviewed the data of 187 patients with UC from whom biopsy samples were obtained after endocytoscopic observation. EC

Full Text available with Trip Pro

2018 Gastrointestinal endoscopy

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