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Intelligence Testing

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1. Emotional Intelligence (EI) Tests Can Predict a Dental Student?s Clinical Performance

Emotional Intelligence (EI) Tests Can Predict a Dental Student?s Clinical Performance UTCAT3180, Found CAT view, CRITICALLY APPRAISED TOPICs University: | | ORAL HEALTH EVIDENCE-BASED PRACTICE PROGRAM View the CAT / Title Emotional Intelligence (EI) Tests Can Predict a Dental Student’s Clinical Performance Clinical Question Among dental students, does performance on an emotional intelligence (EI) test predict students’ success in the clinical phase of the curriculum? Clinical Bottom Line (...) of the idea of making emotional intelligence testing a component of the dental school admissions process or using EI scores for guidance of students during their training is inhibited by the lack of standardization among the various EI tests currently available. The varying methodologies for evaluation of emotional intelligence leaves room for criticism of how realistic the scores can be in reflecting students’ performance. Additionally, EI investigations have used many different outcome measures

2017 UTHSCSA Dental School CAT Library

2. Testing the link between visual suppression and intelligence. (Full text)

Testing the link between visual suppression and intelligence. The impairment to discriminate the motion direction of a large high contrast stimulus or to detect a stimulus surrounded by another one is called visual suppression and is the result of the normal function of our visual inhibitory mechanisms. Recently, Melnick et al. (2013), using a motion discrimination task, showed that intelligence strongly correlates with visual suppression (r = 0.71). Cook et al. (2016) also showed a strong link (...) between contrast surround suppression and IQ (r = 0.87), this time using a contrast matching task. Our aim is to test this link using two different visual suppression tasks: a motion discrimination task and a contrast detection task. Fifty volunteers took part in the experiments. Using Bayesian staircases, we measured duration thresholds in the motion experiment and contrast thresholds in the spatial experiment. Although we found a much weaker effect, our results from the motion experiment still

2018 PLoS ONE

3. Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests. (PubMed)

Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests. The interpretation of pulmonary function tests (PFTs) to diagnose respiratory diseases is built on expert opinion which relies on the recognition of patterns and clinical context for the detection of specific diseases. In the study, we aimed to explore the accuracy and inter-rater variability of pulmonologists when interpreting PFTs and compared it against that of artificial intelligence (AI

2019 European Respiratory Journal

4. Potential roles of artificial intelligence learning and faecal immunochemical testing for prioritisation of colonoscopy in anaemia. (PubMed)

Potential roles of artificial intelligence learning and faecal immunochemical testing for prioritisation of colonoscopy in anaemia. Iron deficiency anaemia (IDA) is the most common cause of anaemia and a frequent indication for colonoscopy, although the prevalence of colorectal cancer (CRC) in IDA is low. Measurement of faecal haemoglobin by immunochemical techniques (FIT) is used to detect symptomatic patients. We studied FIT in patients with anaemia attending a gastroenterology clinic (...) in Plymouth and looked at an artificial intelligence (AI) learning algorithm (ColonFlag™) in these patients, together with a cohort who had undergone colonoscopy for IDA in London. Of 592 patients referred on the basis of haemoglobin concentration, 21 (3.5%) had CRC. Using ColonFlag™, rather than haemoglobin concentration, in combination with symptoms, would have resulted in prioritisation of 304 patients for urgent referral rather than 592. One CRC would have been missed but might have been detected

2019 British journal of haematology

5. Intelligent Liver Function Testing (iLFT): A trial of automated diagnosis and staging of liver disease in Primary Care. (PubMed)

Intelligent Liver Function Testing (iLFT): A trial of automated diagnosis and staging of liver disease in Primary Care. Liver function tests (LFTs) are frequently requested blood tests which may indicate liver disease. LFTs are commonly abnormal, the causes of which can be complex and frequently under investigated. This can lead to missed opportunities to diagnose and treat liver disease at an early stage. We developed an automated investigation algorithm, which would maximise early diagnosis (...) of liver related diseases. Our aim was to determine whether this new pathway of care, Intelligent Liver Function testing (iLFT) increased diagnosis of liver disease and was cost-effective.We developed an automated system that further investigated abnormal LFTs on initial testing samples to generate a probable diagnosis and management plan. We integrated an automated investigation algorithm into the laboratory management system, based on minimal diagnostic criteria, liver fibrosis estimation, and reflex

2019 Journal of Hepatology

6. Does integral affect influence intentions to use artificial intelligence for skin cancer screening? A test of the affect heuristic. (PubMed)

Does integral affect influence intentions to use artificial intelligence for skin cancer screening? A test of the affect heuristic. Objective: This study investigated how affect influences people's processing of messages about risks and benefits of using autonomous artificial intelligence (AI) technology to screen for skin cancer. We examined integral affect (emotion derived during decision making) separately from incidental affect (extraneous mood states). Design: Using the affect heuristic

2019 Psychology & health Controlled trial quality: uncertain

7. Caris Molecular Intelligence for guiding cancer treatment

Caris Molecular Intelligence for guiding cancer treatment Caris Molecular Intelligence for guiding cancer Caris Molecular Intelligence for guiding cancer treatment treatment Medtech innovation briefing Published: 20 September 2017 nice.org.uk/guidance/mib120 pathways Summary Summary The technology technology described in this briefing is Caris Molecular Intelligence (CMI). It is used to help guide future management of locally advanced or metastatic cancer. The inno innovativ vative aspects e (...) of 13The cost cost of CMI is £5,800 per test (excluding VAT), which includes the cost of shipping the sample, the full report, and a consultation between the ordering clinician and a member of the company's medical team. The resource impact resource impact would be additional costs compared with standard care, including test costs, sample preparation and additional multidisciplinary team meetings. There is no published evidence assessing the cost effectiveness of CMI. The technology The technology

2017 National Institute for Health and Clinical Excellence - Advice

8. Are computerised interventions effective in improving performance on tests of fluid intelligence in children and adolescents with disabilities? A systematic review

Are computerised interventions effective in improving performance on tests of fluid intelligence in children and adolescents with disabilities? A systematic review Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. CRD bears no responsibility or liability for the content of this registration record, any associated files or external websites. Email salutation (e.g (...) by the number of treatment groups served. Where applicable, Holm-Bonferroni correction for testing multiple subgroup analyses will be performed. If one or more subgroup analyses cannot be performed due to insufficient data, the p-value will be adjusted accordingly. ">Other Subgroup analysis or meta-regression are used to explore between-study heterogeneity and can provide insight into the relationship between study characteristics (e.g. species, sex or drug class or dose) and effect size. They should

2018 PROSPERO

9. A Matrixed Speech-in-Noise Test to Discriminate Favorable Listening Conditions by Means of Intelligibility and Response Time Results. (PubMed)

A Matrixed Speech-in-Noise Test to Discriminate Favorable Listening Conditions by Means of Intelligibility and Response Time Results. The primary aim of this study was to develop and examine the potentials of a new speech-in-noise test in discriminating the favorable listening conditions targeted in the acoustical design of communication spaces. The test is based on the recognition and recall of disyllabic word sequences. A secondary aim was to compare the test with current speech-in-noise (...) and no reverberation, and (b) reverberant, steady-state noise (Speech Transmission Index: 0.47). The tests were presented in a closed-set format; data on the number of words correctly recognized (speech intelligibility, IS) and the response times (RTs) were collected (onset RT, single words' RT).It was found that a sequence composed of 4 disyllabic words ensured both the full recognition score in quiet conditions and a significant decrease in IS results when noise and reverberation degraded the speech signal. RTs

2018 Journal of speech, language, and hearing research : JSLHR

10. Demographically Calibrated Norms for Two Premorbid Intelligence Measures: The Word Accentuation Test and Pseudo-Words Reading Subtest (Full text)

Demographically Calibrated Norms for Two Premorbid Intelligence Measures: The Word Accentuation Test and Pseudo-Words Reading Subtest The Word Accentuation Test (WAT, Spanish adaptation of the NART) and the Pseudo-Words (PW) Reading subtest from the Battery for Reading Processes Assessment-Revised (PROLEC-R) are measures to estimate premorbid IQ. This study aims to develop demographically calibrated norms for these premorbid measures in a representative sample of the adult Spanish population

2018 Frontiers in psychology

11. The Leuven Embedded Figures Test (L-EFT): measuring perception, intelligence or executive function? (Full text)

The Leuven Embedded Figures Test (L-EFT): measuring perception, intelligence or executive function? Performance on the Embedded Figures Test (EFT) has been interpreted as a reflection of local/global perceptual style, weak central coherence and/or field independence, as well as a measure of intelligence and executive function. The variable ways in which EFT findings have been interpreted demonstrate that the construct validity of this measure is unclear. In order to address this lack of clarity (...) , we investigated to what extent performance on a new Embedded Figures Test (L-EFT) correlated with measures of intelligence, executive functions and estimates of local/global perceptual styles. In addition, we compared L-EFT performance to the original group EFT to directly contrast both tasks. Taken together, our results indicate that performance on the L-EFT does not correlate strongly with estimates of local/global perceptual style, intelligence or executive functions. Additionally, the results

2018 PeerJ

12. Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type Analysis (Full text)

Eye Movements and Cognitive Strategy in a Fluid Intelligence Test: Item Type Analysis Eye movements help to infer the cognitive strategy that a person uses in fluid intelligence tests. However, intelligence tests demand different relations/rules tokens to be solved, such as rule direction, which is the continuation, variation or overlay of geometric figures in the matrix of the intelligence test. The aim of this study was to understand whether eye movements could predict the outcome (...) of an intelligence test and in the rule item groups. Furthermore, we sought to identify which measure is best for predicting intelligence test scores and to understand if the rule item groups use the same strategy. Accordingly, 34 adults completed a computerized intelligence test with an eye-tracking device. The toggling rate, that is, the number of toggles on each test item equalized by the item latency explained 45% of the variance of the test scores and a significant amount of the rule tokens item groups

2018 Frontiers in psychology

13. Testing an Intelligent Tutoring System to Enhance Genetic Risk Assessment

Testing an Intelligent Tutoring System to Enhance Genetic Risk Assessment Testing an Intelligent Tutoring System to Enhance Genetic Risk 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. Testing (...) . This study will adapt and test the impact of an easily scalable novel Intelligent Tutoring System intervention to enhance GCRA use and improve psychosocial outcomes in a clinical sample of underserved Latina and Black women at-risk of hereditary breast and ovarian cancer. Condition or disease Intervention/treatment Phase Hereditary Breast and Ovarian Cancer Behavioral: BRCA-Gist Behavioral: NCI Arm Not Applicable Study Design Go to Layout table for study information Study Type : Interventional (Clinical

2018 Clinical Trials

14. Development of the Korean Adult Reading Test (KART) to estimate premorbid intelligence in dementia patients. (Full text)

Development of the Korean Adult Reading Test (KART) to estimate premorbid intelligence in dementia patients. We aimed to develop a word-reading test for Korean-speaking adults using irregularly pronounced words that would be useful for estimation of premorbid intelligence. A linguist who specialized in Korean phonology selected 94 words that have irregular relationship between orthography and phonology. Sixty cognitively normal elderly (CN) and 31 patients with Alzheimer's disease (AD) were (...) asked to read out loud the words and were administered the Wechsler Adult Intelligence Scale, 4th edition, Korean version (K-WAIS-IV). Among the 94 words, 50 words that did not show a significant difference between the CN and the AD group were selected and constituted the KART. Using the 30 CN calculation group (CNc), a linear regression equation was obtained in which the observed full-scale IQ (FSIQ) was regressed on the reading errors of the KART, where education was included as an additional

2017 PLoS ONE

15. Artificial intelligence and liver transplant (AI4T): can artificial intelligence predict individual liver graft survival, a systematic review

Artificial intelligence and liver transplant (AI4T): can artificial intelligence predict individual liver graft survival, a systematic review Print | PDF PROSPERO This information has been provided by the named contact for this review. CRD has accepted this information in good faith and registered the review in PROSPERO. The registrant confirms that the information supplied for this submission is accurate and complete. CRD bears no responsibility or liability for the content (...) experimental group, we will correct the total number of control animals in the meta-analysis by dividing the number of animals in the control group by the number of treatment groups served. Where applicable, Holm-Bonferroni correction for testing multiple subgroup analyses will be performed. If one or more subgroup analyses cannot be performed due to insufficient data, the p-value will be adjusted accordingly. ">Other Subgroup analysis or meta-regression are used to explore between-study heterogeneity

2019 PROSPERO

16. An Overview of Clinical Applications of Artificial Intelligence

An Overview of Clinical Applications of Artificial Intelligence An Overview of Clinical Applications of Artificial Intelligence | CADTH.ca CADTH Document Viewer An Overview of Clinical Applications of Artificial Intelligence Table of Contents Search this document An Overview of Clinical Applications of Artificial Intelligence October 2018 Background Like many industries, health care is generating increased volumes of data and becoming increasingly reliant on it. 1 Applications that use (...) artificial intelligence (AI) may offer opportunities to make better use of health care’s increasingly data-driven environment and could change the way health care is delivered to Canadians. What is Artificial Intelligence? AI is a branch of computer science concerned with the development of systems that can perform tasks that would usually require human intelligence, such as problem-solving, reasoning, and recognition. 2-5 With theory and work dating back to the 1950s, AI is not a new concept

2018 CADTH - Issues in Emerging Health Technologies

17. Relationships among stress, emotional intelligence, cognitive intelligence, and cytokines. (Full text)

to poor emotional regulation. Additionally, emotional application was positively correlated with full-scale IQ scores and scores on the vocabulary, picture arrangement, and block design subtests of the IQ test. High IL-10 levels were significantly associated with low stress levels only in the right-brain-dominant group. High IL-10 and IFN-gamma levels have been associated with high scores of arithmetic intelligence. TNF-alpha and IL-6 were negatively associated with vocabulary scores and full-scale IQ (...) Relationships among stress, emotional intelligence, cognitive intelligence, and cytokines. The brain has multiple functions, and its structures are very closely related to one another. Thus, the brain areas associated with stress, emotion, and intelligence are closely connected. The purpose of this study was to investigate the multiple associations between stress and emotional intelligence (EI), between EI and intelligence quotient (IQ), between cytokines and stress, and between cytokines

2019 Medicine

18. Intelligence and Creativity in Problem Solving: The Importance of Test Features in Cognition Research (Full text)

Intelligence and Creativity in Problem Solving: The Importance of Test Features in Cognition Research This paper discusses the importance of three features of psychometric tests for cognition research: construct definition, problem space, and knowledge domain. Definition of constructs, e.g., intelligence or creativity, forms the theoretical basis for test construction. Problem space, being well or ill-defined, is determined by the cognitive abilities considered to belong to the constructs, e.g (...) ., convergent thinking to intelligence, divergent thinking to creativity. Knowledge domain and the possibilities it offers cognition are reflected in test results. We argue that (a) comparing results of tests with different problem spaces is more informative when cognition operates in both tests on an identical knowledge domain, and (b) intertwining of abilities related to both constructs can only be expected in tests developed to instigate such a process. Test features should guarantee that abilities can

2017 Frontiers in psychology

19. The Predictive Validity of Four Intelligence Tests for School Grades: A Small Sample Longitudinal Study (Full text)

The Predictive Validity of Four Intelligence Tests for School Grades: A Small Sample Longitudinal Study Intelligence is considered the strongest single predictor of scholastic achievement. However, little is known regarding the predictive validity of well-established intelligence tests for school grades. We analyzed the predictive validity of four widely used intelligence tests in German-speaking countries: The Intelligence and Development Scales (IDS), the Reynolds Intellectual Assessment (...) Scales (RIAS), the Snijders-Oomen Nonverbal Intelligence Test (SON-R 6-40), and the Wechsler Intelligence Scale for Children (WISC-IV), which were individually administered to 103 children (Mage = 9.17 years) enrolled in regular school. School grades were collected longitudinally after 3 years (averaged school grades, mathematics, and language) and were available for 54 children (Mage = 11.77 years). All four tests significantly predicted averaged school grades. Furthermore, the IDS and the RIAS

2017 Frontiers in psychology

20. Towards Intelligent Interpretation of Low Strain Pile Integrity Testing Results Using Machine Learning Techniques (Full text)

Towards Intelligent Interpretation of Low Strain Pile Integrity Testing Results Using Machine Learning Techniques Low strain pile integrity testing (LSPIT), due to its simplicity and low cost, is one of the most popular NDE methods used in pile foundation construction. While performing LSPIT in the field is generally quite simple and quick, determining the integrity of the test piles by analyzing and interpreting the test signals (reflectograms) is still a manual process performed (...) by experienced experts only. For foundation construction sites where the number of piles to be tested is large, it may take days before the expert can complete interpreting all of the piles and delivering the integrity assessment report. Techniques that can automate test signal interpretation, thus shortening the LSPIT's turnaround time, are of great business value and are in great need. Motivated by this need, in this paper, we develop a computer-aided reflectogram interpretation (CARI) methodology that can

2017 Sensors (Basel, Switzerland)

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