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.

6,405 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

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

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

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

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

83. Building the case for actionable ethics in digital health research supported by artificial intelligence. (PubMed)

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

84. Comprehensive In Vitro Toxicity Testing of a Panel of Representative Oxide Nanomaterials: First Steps towards an Intelligent Testing Strategy (PubMed)

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

Full Text available with Trip Pro

2015 PloS one

85. Exploring the relationship between video game expertise and fluid intelligence. (PubMed)

MOBA League of Legends' correlates with fluid intelligence as measured under controlled laboratory conditions. In the second study, we also show that the age profile of performance in the two most widely-played MOBAs (League of Legends and DOTA II) matches that of raw fluid intelligence. We discuss and extend previous videogame literature on intelligence and videogames and suggest that commercial video games can be useful as 'proxy' tests of cognitive performance at a global population level. (...) Exploring the relationship between video game expertise and fluid intelligence. Hundreds of millions of people play intellectually-demanding video games every day. What does individual performance on these games tell us about cognition? Here, we describe two studies that examine the potential link between intelligence and performance in one of the most popular video games genres in the world (Multiplayer Online Battle Arenas: MOBAs). In the first study, we show that performance in the popular

Full Text available with Trip Pro

2017 PLoS ONE

86. Richard Smith: How might artificial intelligence improve healthcare?

and machine learning to predict movements in stocks and shares. The company started in 2009 with the funding and simply the concept that artificial intelligence and machine learning could be used to improve healthcare. In the early days the company tested the concept by working with doctors in the intensive care units in two Tel Aviv based hospitals. The company used data, artificial intelligence, and machine learning to predict which patients would die and which would develop kidney failure much more (...) blood count, age, and sex to measure a person’s risk of developing colon cancer. The hope is that artificial intelligence and machine learning can detect changes that will be meaningful before a clinician can do so. ColonFlag has been tested in populations in Israel, California, China, and the UK, and are essentially the same with each population. Experience in the UK An Oxford group has tested ColonFlag retrospectively using medical records from some 2.5 million patients in . ColonFlag

2017 The BMJ Blog

87. Clinical artificial intelligence: on the brink of a digital revolution?

Clinical artificial intelligence: on the brink of a digital revolution? Clinical artificial intelligence: on the brink of a digital revolution? | The King's Fund Main navigation Health and care services Leadership, systems and organisations Patients, people and society Policy, finance and performance Search term Apply Clinical artificial intelligence: on the brink of a digital revolution? This content relates to the following topics: Share this content Guest blogs do not always represent (...) the views of The King’s Fund Ahead of The King’s Fund’s to inspire and challenge the future of health care, Hugh Harvey, Clinical Artificial Intelligence and Predictive Analysis Researcher at King's College London, imagines a world in which artificial intelligence has transformed frontline care. In the GP’s office, speech-recognition software quietly pulls key phrases from the doctor–patient consultation, and sends them to an aggregator. The tone of the patient’s voice, their heart rate and breathing

2017 King's Fund blog

88. Six things we learned from that massive new study of intelligence genes

identified a dozen genes associated with intelligence. Now has unearthed 40 more. So the total is now 52. Six takeaways from the massive new study of genes for intelligence, published in Nature Genetics. 1. This study was not about genes for “intelligence,” however you define “intelligence.” It was about genes that influence the ability to do well on standardized tests aimed at quantifying cognitive abilities. At earlier points in the history of Homo sap , “intelligence” might have meant being able (...) to remember where and what time of year a particular tree would be festooned with fruit, or to read the landscape so as to track prey animals. Today, in much of the world, intelligence tests are a not-unreasonable surrogate for that squidgy concept, “intelligence.” For one thing, test scores correlate with other measures of success in modern life, such as educational achievement and good health and longevity. For another, let’s be practical here, test scores were one kind of data available

2017 PLOS Blogs Network

89. Do children born to teenage parents have lower adult intelligence? A prospective birth cohort study. (PubMed)

Do children born to teenage parents have lower adult intelligence? A prospective birth cohort study. Teenage motherhood has been associated with a wide variety of negative offspring outcomes including poorer cognitive development. In the context of limitations of previous research, this paper assesses the contemporary relevance of this finding. In this study we investigate the long-term cognitive status (IQ) among 21 year adult offspring born to teenage parents using the Mater University Study (...) of Pregnancy- a prospective birth cohort study, which recruited all pregnant mothers attending a large obstetrical hospital in Brisbane, Australia, from 1981 to 1983. The analyses were restricted to a sub-sample of 2643 mother-offspring pair. Offspring IQ was measured using the Peabody Picture Vocabulary Test at 21 year. Parental age was reported at first clinic visit. Offspring born to teenage mothers (<20 years) have -3.0 (95% Confidence Interval (CI): -4.3, -1.8) points lower IQ compared to children

Full Text available with Trip Pro

2017 PLoS ONE

90. A Personalized Self-Management Rehabilitation System with an Intelligent Shoe for Stroke Survivors: A Realist Evaluation (PubMed)

A Personalized Self-Management Rehabilitation System with an Intelligent Shoe for Stroke Survivors: A Realist Evaluation In the United Kingdom, stroke is the most significant cause of adult disability. Stroke survivors are frequently left with physical and psychological changes that can profoundly affect their functional ability, independence, and social participation. Research suggests that long-term, intense, task- and context-specific rehabilitation that is goal-oriented and environmentally (...) survivors with integrated insole sensor technology within an "intelligent shoe.". The intervention model was based around a rehabilitation paradigm underpinned by theories of motor relearning and neuroplastic adaptation, motivational feedback, self-efficacy, and knowledge transfer.To understand the conditions under which this technology-based rehabilitation solution would most likely have an impact on the motor behavior of the user, what would work for whom, in what context, and how. We were interested

Full Text available with Trip Pro

2016 JMIR rehabilitation and assistive technologies

91. Artificial intelligence: Neural network model as the multidisciplinary team member in clinical decision support to avoid medical mistakes (PubMed)

Artificial intelligence: Neural network model as the multidisciplinary team member in clinical decision support to avoid medical mistakes The continuous uninterrupted feedback system is the essential part of any well-organized system. We propose aLYNX concept that is a possibility to use an artificial intelligence algorithm or a neural network model in decision-making system so as to avoid possible mistakes and to remind the doctors to review tactics once more in selected cases.aLYNX system (...) was trained by 4679 patients who achieved 5-year survival. Among them, 2390 patients underwent PCI and 2289 CABG. After training, the correlation coefficient (r) of the network was 0.74 for training, 0.67 for validation, 0.71 for test and 0.73 for total. Simulation of the neural network function has been performed after training in the two groups of patients with known 5-year outcome. The disagreement rate was significantly higher in the dead patient group than that in the survivor group between neural

Full Text available with Trip Pro

2016 Chronic diseases and translational medicine

92. Correlational structure of ‘frontal’ tests and intelligence tests indicates two components with asymmetrical neurostructural correlates in old age (PubMed)

Correlational structure of ‘frontal’ tests and intelligence tests indicates two components with asymmetrical neurostructural correlates in old age Both general fluid intelligence (gf) and performance on some 'frontal tests' of cognition decline with age. Both types of ability are at least partially dependent on the integrity of the frontal lobes, which also deteriorate with age. Overlap between these two methods of assessing complex cognition in older age remains unclear. Such overlap could (...) be investigated using inter-test correlations alone, as in previous studies, but this would be enhanced by ascertaining whether frontal test performance and gf share neurobiological variance. To this end, we examined relationships between gf and 6 frontal tests (Tower, Self-Ordered Pointing, Simon, Moral Dilemmas, Reversal Learning and Faux Pas tests) in 90 healthy males, aged ~ 73 years. We interpreted their correlational structure using principal component analysis, and in relation to MRI-derived regional

Full Text available with Trip Pro

2014 Intelligence

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

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

2019 Public Health England

94. Prolonged dexmedetomidine infusion in critically ill adult patients: a retrospective analysis of a large clinical database Multiparameter Intelligent Monitoring in Intensive Care III (PubMed)

Prolonged dexmedetomidine infusion in critically ill adult patients: a retrospective analysis of a large clinical database Multiparameter Intelligent Monitoring in Intensive Care III There is no conclusive evidence for the effects of prolonged infusion of dexmedetomidine in critically ill patients. We aimed to investigate the safety of long-term dexmedetomidine infusion in a large critically ill patients cohort from the Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC-III (...) ) database.We retrospectively extracted records from MIMIC-III database. Dexmedetomidine administration time was the basis for group. Variables were compared by chi-square tests, and Mann-Whitney U test as appropriate. We used logistic regression model for multivariate analysis. Contour maps were drawn to measure rebound of heart rate (HR) and blood pressure (BP).We finally got 1,946 records including 1,368 distinct individuals. Age, body mass index (BMI), length of stay in hospital, accumulated doses

Full Text available with Trip Pro

2018 Annals of Translational Medicine

95. Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms (PubMed)

Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms Assistive technologies help all persons with disabilities to improve their accessibility in all aspects of their life. The AIDE European project contributes to the improvement of current assistive technologies by developing and testing a modular and adaptive multimodal interface customizable to the individual needs of people with disabilities. This paper describes the computer vision algorithms (...) . These algorithms were tested in real conditions, and were thoroughly evaluated both qualitatively and quantitatively. The experimental results of the object selection algorithm were excellent (object selection over 90%) in less than 12 s. The detection and pose estimation algorithms evaluated using the LINEMOD database were similar to the state-of-the-art method, and were the most computationally efficient.

Full Text available with Trip Pro

2018 Sensors (Basel, Switzerland)

96. Design, Analysis and Experiment of a Tactile Force Sensor for Underwater Dexterous Hand Intelligent Grasping (PubMed)

Design, Analysis and Experiment of a Tactile Force Sensor for Underwater Dexterous Hand Intelligent Grasping This paper proposes a novel underwater dexterous hand structure whose fingertip is equipped with underwater tactile force sensor (UTFS) array to realize the grasping sample location determination and force perception. The measurement structure, theoretical analysis, prototype development and experimental verification of the UTFS are purposefully studied in order to achieve accurate (...) , the output of the standard force applying under different water depth and the test of the standard force applying under conditions of different 0 ∘C⁻30 ∘C temperature with 0.1 m water depth are carried out to verify the performance of the sensor. The experiments show that the UTFS has a high linearity and sensitivity, and which has a regular zero drift and temperature drift which can be eliminated by calibration algorithm.

Full Text available with Trip Pro

2018 Sensors (Basel, Switzerland)

97. An Intelligent System for Monitoring Skin Diseases (PubMed)

excessive influence of the sunlight. Smart homes can be equipped with a variety of motion sensors and cameras which can be used to detect and identify possible disease development. In this work, we present a smart home system which is using in-built sensors and proposed artificial intelligence methods to diagnose the skin health condition of the residents of the house. The proposed solution has been tested and discussed due to potential use in practice. (...) An Intelligent System for Monitoring Skin Diseases The practical increase of interest in intelligent technologies has caused a rapid development of all activities in terms of sensors and automatic mechanisms for smart operations. The implementations concentrate on technologies which avoid unnecessary actions on user side while examining health conditions. One of important aspects is the constant inspection of the skin health due to possible diseases such as melanomas that can develop under

Full Text available with Trip Pro

2018 Sensors (Basel, Switzerland)

98. An Evaluation of Output Signal to Noise Ratio as a Predictor of Cochlear Implant Speech Intelligibility. (PubMed)

An Evaluation of Output Signal to Noise Ratio as a Predictor of Cochlear Implant Speech Intelligibility. Cochlear implant (CI) sound processing strategies are usually evaluated in clinical studies involving experienced implant recipients. Metrics which estimate the capacity to perceive speech for a given set of audio and processing conditions provide an alternative means to assess the effectiveness of processing strategies. The aim of this research was to assess the ability of the output signal (...) to noise ratio (OSNR) to accurately predict speech perception. It was hypothesized that compared with the other metrics evaluated in this study (1) OSNR would have equivalent or better accuracy and (2) OSNR would be the most accurate in the presence of variable levels of speech presentation.For the first time, the accuracy of OSNR as a metric which predicts speech intelligibility was compared, in a retrospective study, with that of the input signal to noise ratio (ISNR) and the short-term objective

2018 Ear and hearing

99. Burnout is Associated With Emotional Intelligence but not Traditional Job Performance Measurements in Surgical Residents. (PubMed)

Burnout is Associated With Emotional Intelligence but not Traditional Job Performance Measurements in Surgical Residents. To evaluate whether burnout was associated with emotional intelligence and job performance in surgical residents.General surgery residents at a single institution were surveyed using the Maslach Burnout Inventory (MBI) and trait EI questionnaire (TEIQ-SF). Burnout was defined as scoring in 2 of the 3 following domains; Emotional Exhaustion (high), Depersonalization (high (...) ), and Personal Accomplishment (low). Job performance was evaluated using faculty evaluations of clinical competency-based surgical milestones and standardized test scores including the American Board of Surgery In-Training Exam (ABSITE) and the United States Medical Licensing Examination (USMLE) Step 3. USMLE Step 1 and USMLE Step 2, which were taken prior to residency training, were included to examine possible associations of burnout with USMLE examinations. Statistical comparison was made using Pearson

2018 Journal of Surgical Education

100. Maternal and offspring intelligence in relation to BMI across childhood and adolescence. (PubMed)

Maternal and offspring intelligence in relation to BMI across childhood and adolescence. The present study tested the association between both mothers' and offspring's intelligence and offspring's body mass index (BMI) in youth.Participants were members of the National Longitudinal Survey of Youth 1979 (NLSY-79) Children and Young Adults cohort (n = 11,512) and their biological mothers who were members of the NLSY-79 (n = 4932). Offspring's IQ was measured with the Peabody Individual (...) Achievement Test (PIAT). Mothers' IQ was measured with the Armed Forces Qualification Test (AFQT). A series of regression analyses tested the association between IQ and offspring's BMI by age group, while adjusting for pre-pregnancy BMI and family SES. The analyses were stratified by sex and ethnicity (non-Black and non-Hispanic, Black, and Hispanic).The following associations were observed in the fully adjusted analyses. For the non-Blacks and non-Hispanics, a SD increment in mothers' IQ was negatively

Full Text available with Trip Pro

2018 International Journal of Obesity

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