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Intelligence Testing

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21. Cognitive differences between orang-utan species: a test of the cultural intelligence hypothesis (PubMed)

Cognitive differences between orang-utan species: a test of the cultural intelligence hypothesis Cultural species can - or even prefer to - learn their skills from conspecifics. According to the cultural intelligence hypothesis, selection on underlying mechanisms not only improves this social learning ability but also the asocial (individual) learning ability. Thus, species with systematically richer opportunities to socially acquire knowledge and skills should over time evolve to become more (...) intelligent. We experimentally compared the problem-solving ability of Sumatran orang-utans (Pongo abelii), which are sociable in the wild, with that of the closely related, but more solitary Bornean orang-utans (P. pygmaeus), under the homogeneous environmental conditions provided by zoos. Our results revealed that Sumatrans showed superior innate problem-solving skills to Borneans, and also showed greater inhibition and a more cautious and less rough exploration style. This pattern is consistent

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2016 Scientific reports

22. Process Overlap Theory and First Principles of Intelligence Testing (PubMed)

Process Overlap Theory and First Principles of Intelligence Testing The purpose of this comment is to put the Process Overlap Theory of Kovacs and Conway in the broadest possible context. I will briefly discuss the nature of intelligence testing and then relate it to the theory under consideration before making a few concluding comments.

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2016 Psychological inquiry

23. Assessment of the Speech Intelligibility Performance of Post Lingual Cochlear Implant Users at Different Signal-to-Noise Ratios Using the Turkish Matrix Test (PubMed)

Assessment of the Speech Intelligibility Performance of Post Lingual Cochlear Implant Users at Different Signal-to-Noise Ratios Using the Turkish Matrix Test Spoken word recognition and speech perception tests in quiet are being used as a routine in assessment of the benefit which children and adult cochlear implant users receive from their devices. Cochlear implant users generally demonstrate high level performances in these test materials as they are able to achieve high level speech (...) perception ability in quiet situations. Although these test materials provide valuable information regarding Cochlear Implant (CI) users' performances in optimal listening conditions, they do not give realistic information regarding performances in adverse listening conditions, which is the case in the everyday environment.The aim of this study was to assess the speech intelligibility performance of post lingual CI users in the presence of noise at different signal-to-noise ratio with the Matrix Test

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2016 Balkan medical journal

24. Development of an Intelligent POWER Rehabilitation Cluster Machine and Its Clinical Testing and Assessment

Development of an Intelligent POWER Rehabilitation Cluster Machine and Its Clinical Testing and Assessment Development of an Intelligent POWER Rehabilitation Cluster Machine and Its Clinical Testing and 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. Development of an Intelligent POWER Rehabilitation Cluster Machine and Its Clinical Testing and 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: NCT02685839 Recruitment Status : Unknown Verified May 2016 by Taipei Veterans General Hospital

2016 Clinical Trials

25. Survey of Expert Opinion on Intelligence: Causes of International Differences in Cognitive Ability Tests (PubMed)

Survey of Expert Opinion on Intelligence: Causes of International Differences in Cognitive Ability Tests Following Snyderman and Rothman (1987, 1988), we surveyed expert opinions on the current state of intelligence research. This report examines expert opinions on causes of international differences in student assessment and psychometric IQ test results. Experts were surveyed about the importance of culture, genes, education (quantity and quality), wealth, health, geography, climate, politics (...) , modernization, sampling error, test knowledge, discrimination, test bias, and migration. The importance of these factors was evaluated for diverse countries, regions, and groups including Finland, East Asia, sub-Saharan Africa, Southern Europe, the Arabian-Muslim world, Latin America, Israel, Jews in the West, Roma (gypsies), and Muslim immigrants. Education was rated by N = 71 experts as the most important cause of international ability differences. Genes were rated as the second most relevant factor

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2016 Frontiers in psychology

26. Intelligent Condition Diagnosis Method Based on Adaptive Statistic Test Filter and Diagnostic Bayesian Network (PubMed)

Intelligent Condition Diagnosis Method Based on Adaptive Statistic Test Filter and Diagnostic Bayesian Network A new fault diagnosis method for rotating machinery based on adaptive statistic test filter (ASTF) and Diagnostic Bayesian Network (DBN) is presented in this paper. ASTF is proposed to obtain weak fault features under background noise, ASTF is based on statistic hypothesis testing in the frequency domain to evaluate similarity between reference signal (noise signal) and original signal

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2016 Sensors (Basel, Switzerland)

27. Testing Relations of Crystallized and Fluid Intelligence and the Incremental Predictive Validity of Conscientiousness and Its Facets on Career Success in a Small Sample of German and Swiss Workers (PubMed)

Testing Relations of Crystallized and Fluid Intelligence and the Incremental Predictive Validity of Conscientiousness and Its Facets on Career Success in a Small Sample of German and Swiss Workers This study examined the relation of fluid and crystallized intelligence with extrinsic (occupational skill level, income) and intrinsic (job satisfaction) career success as well as the incremental predictive validity of conscientiousness and its facets. Participants (N = 121) completed the Reynolds (...) Intellectual Assessment Scales (RIAS), the Revised NEO Personality Inventory (NEO-PI-R), and reported their occupational skill level, income, and job satisfaction. Results revealed that crystallized intelligence was positively related to occupational skill level, but not to income. The association of crystallized intelligence and job satisfaction was negative and stronger for the lowest occupational skill level, whereas it was non-significant for higher levels. Fluid intelligence showed no association

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2016 Frontiers in psychology

28. Intelligence Testing

Intelligence Testing Intelligence Testing Toggle navigation Brain Head & Neck Chest Endocrine Abdomen Musculoskeletal Skin Infectious Disease Hematology & Oncology Cohorts Diagnostics Emergency Findings Procedures Prevention & Management Pharmacy Resuscitation Trauma Emergency Procedures Ultrasound Cardiovascular Emergencies Lung Emergencies Infectious Disease Pediatrics Neurologic Emergencies Skin Exposure Miscellaneous Abuse Cancer Administration 4 Intelligence Testing Intelligence Testing (...) Aka: Intelligence Testing From Related Chapters II. Indications Abnormal Child must be at least 3 years III. Efficacy Predictive of later functioning, (esp. post-school age) Should be performed in conjunction with function test IV. Tests Images: Related links to external sites (from Bing) These images are a random sampling from a Bing search on the term "Intelligence Testing." Click on the image (or right click) to open the source website in a new browser window. Related Studies (from Trip

2018 FP Notebook

29. Performance on the Kaufman Brief Intelligence Test-2 by Children with Williams Syndrome (PubMed)

Performance on the Kaufman Brief Intelligence Test-2 by Children with Williams Syndrome We describe the performance of 292 4- to 17-year-olds with Williams syndrome (WS) on the Kaufman Brief Intelligence Test-2 (KBIT-2; Kaufman & Kaufman, 2004). Mean IQ Composite, Verbal standard score (SS), and Nonverbal SS were in the borderline range relative to the general population, with variability similar to the general population. Correlations between SSs and CA were close to 0, with no significant sex

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2016 American journal on intellectual and developmental disabilities

30. Higher emotional intelligence is related to lower test anxiety among students (PubMed)

Higher emotional intelligence is related to lower test anxiety among students For students attending university courses, experiencing test anxiety (TA) dramatically impairs cognitive performance and success at exams. Whereas TA is a specific case of social phobia, emotional intelligence (EI) is an umbrella term covering interpersonal and intrapersonal skills, along with positive stress management, adaptability, and mood. In the present study, we tested the hypothesis that higher EI and lower TA

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2016 Neuropsychiatric disease and treatment

31. In Silico Testing of an Artificial-Intelligence-Based Artificial Pancreas Designed for Use in the Intensive Care Unit Setting (PubMed)

In Silico Testing of an Artificial-Intelligence-Based Artificial Pancreas Designed for Use in the Intensive Care Unit Setting Effective glucose control in the intensive care unit (ICU) setting has the potential to decrease morbidity and mortality rates which should in turn lead to decreased health care expenditures. Current ICU-based glucose controllers are mathematically derived, and tend to be based on proportional integral derivative (PID) or model predictive control (MPC). Artificial (...) intelligence (AI)-based closed loop glucose controllers may have the ability to achieve control that improves on the results achieved by either PID or MPC controllers.We conducted an in silico analysis of an AI-based glucose controller designed for use in the ICU setting. This controller was tested using a mathematical model of the ICU patient's glucose-insulin system. A total of 126 000 unique 5-day simulations were carried out, resulting in 107 million glucose values for analysis.For the 7 control ranges

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2016 Journal of diabetes science and technology

32. Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients. (PubMed)

were splitted into validation and derivation dataset with no duplication in each dataset. The artificial intelligence model was constructed to select patients who require urgent revascularization within 48 hours. The model was trained with the derivation dataset and tested using the validation dataset.Of the consecutive 39,619 patients visiting the emergency room with chest discomfort, 362 underwent urgent revascularization. Of them, 249 were included in the derivation dataset and the remaining 113 (...) Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients. Patient with acute coronary syndrome benefits from early revascularization. However, methods for the selection of patients who require urgent revascularization from a variety of patients visiting the emergency room with chest symptoms is not fully established. Electrocardiogram is an easy and rapid procedure, but may contain crucial information not recognized even

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2019 PLoS ONE

33. Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database. (PubMed)

Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database. Intelligent decision support systems (IDSS) have been applied to tasks of disease management. Deep neural networks (DNNs) are artificial intelligent techniques to achieve high modeling power. The application of DNNs to large-scale data for estimating stroke risk needs to be assessed and validated. This study aims to apply a DNN for deriving a stroke (...) predictive model using a big electronic health record database.The Taiwan National Health Insurance Research Database was used to conduct a retrospective population-based study. The database was divided into one development dataset for model training (~70% of total patients for training and ~10% for parameter tuning) and two testing datasets (each ~10%). A total of 11,192,916 claim records from 840,487 patients were used. The primary outcome was defined as any ischemic stroke in inpatient records within

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2019 PLoS ONE

34. Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients. (PubMed)

]) and higher on the visual acuity (-0.03[0.33] vs. -0.14[0.12]) and dynamic visual acuity (0.38[0.84] vs. 0.20[0.20]) tests. The importance of caloric, SOT and DVA, was supported by the PCA outcomes. Group-1 tended to report headaches, blurred vision and balance problems more frequently than group-2 (>10% difference).The SOM divided the data into one group with prominent vestibular disorders and another with no clear vestibular or balance problems, suggesting that artificial intelligence might help improve (...) Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients. We propose a bottom-up, machine-learning approach, for the objective vestibular and balance diagnostic data of concussion patients, to provide insight into the differences in patients' phenotypes, independent of existing diagnoses (unsupervised learning).Diagnostic data from a battery of validated balance and vestibular assessments were

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2019 PLoS ONE

35. Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction. (PubMed)

Artificial intelligence and the analysis of multi-platform metabolomics data for the detection of intrauterine growth restriction. To interrogate the pathogenesis of intrauterine growth restriction (IUGR) and apply Artificial Intelligence (AI) techniques to multi-platform i.e. nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS) based metabolomic analysis for the prediction of IUGR.MS and NMR based metabolomic analysis were performed on cord blood serum from 40 IUGR (birth (...) weight < 10th percentile) cases and 40 controls. Three variable selection algorithms namely: Correlation-based feature selection (CFS), Partial least squares regression (PLS) and Learning Vector Quantization (LVQ) were tested for their diagnostic performance. For each selected set of metabolites and the panel consists of metabolites common in three selection algorithms so-called overlapping set (OL), support vector machine (SVM) models were developed for which parameter selection was performed busing

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2019 PLoS ONE

36. 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

37. Diagnostic accuracy of artificial intelligence in oral and maxillofacial radiology - a systematic review and meta-analysis

Diagnostic accuracy of artificial intelligence in oral and maxillofacial radiology - a systematic review and meta-analysis 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 of this registration record, any (...) 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 and can provide insight into the relationship between study

2019 PROSPERO

38. The conduct and reporting of studies evaluating artificial intelligence/machine learning algorithms used for diagnosis and prognosis

The conduct and reporting of studies evaluating artificial intelligence/machine learning algorithms used for diagnosis and prognosis 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 of this registration record (...) 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 and can provide insight

2019 PROSPERO

39. Artificial intelligence applications in mental health care for refugees and immigrants: a rapid review

Artificial intelligence applications in mental health care for refugees and immigrants: a rapid 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 of this registration record, any associated files (...) 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 and can provide insight into the relationship between study

2019 PROSPERO

40. The effective use of artificial intelligence technologies for improving food portion estimation outcomes in adults - a systematic review

The effective use of artificial intelligence technologies for improving food portion estimation outcomes in adults - 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 of this registration (...) 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 and can provide insight

2019 PROSPERO

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