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Intelligence Testing

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161. Impact of an intelligent chronic disease management system on patients with type 2 diabetes mellitus in a Beijing community. Full Text available with Trip Pro

Impact of an intelligent chronic disease management system on patients with type 2 diabetes mellitus in a Beijing community. Rapid demographic and economic changes have made chronic disease the number one health issue in China, contributing to more than 80% of the country's 10.3 million annual deaths and nearly 70% of its total disease burden (Wang et al., Toward a Healthy and Harmonious Life in China: Stemming the Rising Tide of Non-Communicable Diseases, 2011; Yip and Hsiao, Lancet 384: 805 (...) in Australia (Kelly et al., Aust J Prim Health 9:186-9, 2003). The ICDMS is an important tool in the implementation of patient-centered programs targeting chronic health issues, and its success is determined by factors, such as frequent contact between patients and doctors and effective website training for patients. This retrospective study used de-identified data from the Fangzhuang (Beijing) intelligent chronic disease management system (ICDMS) database to evaluate the effect of an intelligent chronic

2018 BMC health services research

162. Effect of acupuncture at 3-points for intelligence on vascular dementia: Protocol for a systematic review and meta-analysis of randomized controlled trials. Full Text available with Trip Pro

Effect of acupuncture at 3-points for intelligence on vascular dementia: Protocol for a systematic review and meta-analysis of randomized controlled trials. Vascular dementia (VD) is a commonly-seen disease in the elderly. What is more, "Acupuncture at 3-points for intelligence" is one of the most important components of "Jin's three-needle therapy" created by Rui Jin, a professor of Guangzhou University of Chinese Medicine, which can be used in the VD patients. In this article, researchers (...) will assess the clinical efficacy and safety of acupuncture at 3-points for intelligence in the treatment of VD.A systematic literature search for articles up to September 2018 will be conducted using 9 databases: PubMed, Cochrane Library, Embase, CNKI, CBM, VIP, Wanfang database, OASIS, and CiNii. Inclusion criteria are randomized controlled trials (RCTs) of acupuncture at 3-points for intelligence on treating VD. The primary outcome measures will be scores reflecting the neurological function

2018 Medicine

163. 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

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

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

165. Maternal and offspring intelligence in relation to BMI across childhood and adolescence. Full Text available with Trip Pro

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

2018 International Journal of Obesity

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

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

167. Tailored Drug Titration Through Artificial Intelligence

by (Responsible Party): Optima Integrated Health Study Details Study Description Go to Brief Summary: ARTERY is a randomized clinical trial that investigates the benefit of a predictive modeling artificial intelligence in improving the management of anti-hypertensive medication treatment. Condition or disease Intervention/treatment Phase Hypertension Other: optima4BP Not Applicable Detailed Description: The goal of the proposed research is to test a connected medication management platform technology (...) Tailored Drug Titration Through Artificial Intelligence Tailored Drug Titration Through Artificial Intelligence - 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. Tailored Drug Titration Through Artificial

2018 Clinical Trials

168. A Multi-center Study on the Artificial Intelligence Enabled Diabetic Retinopathy Screening Based on Fundus Images

A Multi-center Study on the Artificial Intelligence Enabled Diabetic Retinopathy Screening Based on Fundus Images A Multi-center Study on the Artificial Intelligence Enabled Diabetic Retinopathy Screening Based on Fundus Images - 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. A Multi-center Study on the Artificial Intelligence Enabled Diabetic Retinopathy Screening Based on Fundus Images 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

2018 Clinical Trials

169. Artificial Intelligence Screening on Patients With Primary Angle Closure Glaucoma

Artificial Intelligence Screening on Patients With Primary Angle Closure Glaucoma Artificial Intelligence Screening on Patients With Primary Angle Closure Glaucoma - 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 Screening on Patients With Primary Angle Closure Glaucoma (AI) 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: NCT03611387 Recruitment Status : Recruiting First Posted : August 2, 2018 Last

2018 Clinical Trials

170. Neurobiological correlates of emotional intelligence in voice and face perception networks Full Text available with Trip Pro

of emotional intelligence as measured with the Salovey-Caruso-Emotional-Intelligence-Test (MSCEIT) with cerebral voice and face processing using functional and structural magnetic resonance imaging. MSCEIT scores were positively correlated with increased voice-sensitivity and gray matter volume of the insula accompanied by voice-sensitivity enhanced connectivity between the insula and the temporal voice area, indicating generally increased salience of voices. Conversely, in the face processing system (...) Neurobiological correlates of emotional intelligence in voice and face perception networks Facial expressions and voice modulations are among the most important communicational signals to convey emotional information. The ability to correctly interpret this information is highly relevant for successful social interaction and represents an integral component of emotional competencies that have been conceptualized under the term emotional intelligence. Here, we investigated the relationship

2018 Social cognitive and affective neuroscience

171. Knowledge Is Power for Medical Assistants: Crystallized and Fluid Intelligence As Predictors of Vocational Knowledge Full Text available with Trip Pro

of vocational knowledge in vocational education and training (VET) was examined for medical assistant students (n = 448). Differences in domain-specific vocational knowledge were predicted by crystallized and fluid intelligence in the course of VET. A multiple matrix design with 3 year-specific booklets was used for the vocational knowledge tests of the medical assistants. The unique and joint contributions of the predictors were investigated with structural equation modeling. Crystallized intelligence (...) Knowledge Is Power for Medical Assistants: Crystallized and Fluid Intelligence As Predictors of Vocational Knowledge Medical education research has focused almost entirely on the education of future physicians. In comparison, findings on other health-related occupations, such as medical assistants, are scarce. With the current study, we wanted to examine the knowledge-is-power hypothesis in a real life educational setting and add to the sparse literature on medical assistants. Acquisition

2018 Frontiers in psychology

172. Artificial Intelligence Estimation of Carotid-Femoral Pulse Wave Velocity using Carotid Waveform Full Text available with Trip Pro

Artificial Intelligence Estimation of Carotid-Femoral Pulse Wave Velocity using Carotid Waveform In this article, we offer an artificial intelligence method to estimate the carotid-femoral Pulse Wave Velocity (PWV) non-invasively from one uncalibrated carotid waveform measured by tonometry and few routine clinical variables. Since the signal processing inputs to this machine learning algorithm are sensor agnostic, the presented method can accompany any medical instrument that provides (...) a calibrated or uncalibrated carotid pressure waveform. Our results show that, for an unseen hold back test set population in the age range of 20 to 69, our model can estimate PWV with a Root-Mean-Square Error (RMSE) of 1.12 m/sec compared to the reference method. The results convey the fact that this model is a reliable surrogate of PWV. Our study also showed that estimated PWV was significantly associated with an increased risk of CVDs.

2018 Scientific reports

173. Comparison of SVM, RF and ELM on an Electronic Nose for the Intelligent Evaluation of Paraffin Samples Full Text available with Trip Pro

Comparison of SVM, RF and ELM on an Electronic Nose for the Intelligent Evaluation of Paraffin Samples Paraffin odor intensity is an important quality indicator when a paraffin inspection is performed. Currently, paraffin odor level assessment is mainly dependent on an artificial sensory evaluation. In this paper, we developed a paraffin odor analysis system to classify and grade four kinds of paraffin samples. The original feature set was optimized using Principal Component Analysis (PCA (...) to the test set was above 0.87. Through comprehensive comparison, the generalization of the model based on ELM was superior to those based on SVM and RF. The scoring errors for the three models were 0.0016-0.3494, lower than the error of 0.5-1.0 measured by industry standard experts, meaning these methods have a higher prediction accuracy for scoring paraffin level.

2018 Sensors (Basel, Switzerland)

174. IDEAL: Artificial Intelligence and Big Data for Early Lung Cancer Diagnosis Study

IDEAL: Artificial Intelligence and Big Data for Early Lung Cancer Diagnosis Study IDEAL: Artificial Intelligence and Big Data for Early Lung Cancer Diagnosis Study - 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. IDEAL: Artificial Intelligence and Big Data for Early Lung Cancer Diagnosis Study (IDEAL) 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: NCT03753724 Recruitment Status : Recruiting First Posted : November 27, 2018

2018 Clinical Trials

175. A Strain-Based Method to Detect Tires’ Loss of Grip and Estimate Lateral Friction Coefficient from Experimental Data by Fuzzy Logic for Intelligent Tire Development Full Text available with Trip Pro

for developing an intelligent tire. Therefore, the aim of the intelligent tire is to monitor tire working conditions in real-time, providing useful information to other systems and becoming an active system. In this paper, tire tread deformation is measured to provide a strong experimental base with different experiments and test results by means of a tire fitted with sensors. Tests under different working conditions such as vertical load or slip angle have been carried out with an indoor tire test rig (...) A Strain-Based Method to Detect Tires’ Loss of Grip and Estimate Lateral Friction Coefficient from Experimental Data by Fuzzy Logic for Intelligent Tire Development Tires are a key sub-system of vehicles that have a big responsibility for comfort, fuel consumption and traffic safety. However, current tires are just passive rubber elements which do not contribute actively to improve the driving experience or vehicle safety. The lack of information from the tire during driving gives cause

2018 Sensors (Basel, Switzerland)

176. Intelligent Control Wheelchair Using a New Visual Joystick Full Text available with Trip Pro

Intelligent Control Wheelchair Using a New Visual Joystick A new control system of a hand gesture-controlled wheelchair (EWC) is proposed. This smart control device is suitable for a large number of patients who cannot manipulate a standard joystick wheelchair. The movement control system uses a camera fixed on the wheelchair. The patient's hand movements are recognized using a visual recognition algorithm and artificial intelligence software; the derived corresponding signals are thus used (...) to control the EWC in real time. One of the main features of this control technique is that it allows the patient to drive the wheelchair with a variable speed similar to that of a standard joystick. The designed device "hand gesture-controlled wheelchair" is performed at low cost and has been tested on real patients and exhibits good results. Before testing the proposed control device, we have created a three-dimensional environment simulator to test its performances with extreme security. These tests

2018 Journal of healthcare engineering

177. Single-Word Speech Intelligibility in Children and Adults With Down Syndrome Full Text available with Trip Pro

Single-Word Speech Intelligibility in Children and Adults With Down Syndrome A single-word identification test was used to study speech production in children and adults with Down syndrome (DS) to determine the developmental pattern of speech intelligibility with an emphasis on vowels.Speech recordings were collected from 62 participants with DS aged 4-40 years and 25 typically developing participants aged 4-7 years. Panels of 5 adult lay listeners transcribed the speech recordings (...) orthographically, and their responses were scored in comparison with the speakers' target words.Speech intelligibility in persons with DS improved with age, especially between the ages of 4 and 16 years. Whereas consonants contribute to intelligibility, vowels also played an important role in reduced intelligibility with an apparent developmental difference in low versus high vowels, where the vowels /æ/ and/ɑ/ developed at a later age than /i/ and /u/. Interspeaker variability was large, with male individuals

2018 American Journal of Speech-Language Pathology

178. An Analysis of Individual Differences in Recognizing Monosyllabic Words Under the Speech Intelligibility Index Framework Full Text available with Trip Pro

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

2018 Trends in hearing

179. 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 Full Text available with Trip Pro

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

2018 JMIR Research Protocols Controlled trial quality: uncertain

180. A "Goldilocks" Approach to Hearing Aid Self-Fitting: Ear-Canal Output and Speech Intelligibility Index. Full Text available with Trip Pro

A "Goldilocks" Approach to Hearing Aid Self-Fitting: Ear-Canal Output and Speech Intelligibility Index. The objective was to determine self-adjusted output response and speech intelligibility index (SII) in individuals with mild to moderate hearing loss and to measure the effects of prior hearing aid experience.Thirteen hearing aid users and 13 nonusers, with similar group-mean pure-tone thresholds, listened to prerecorded and preprocessed sentences spoken by a man. Starting with a generic (...) level and spectrum, participants adjusted (1) overall level, (2) high-frequency boost, and (3) low-frequency cut. Participants took a speech perception test after an initial adjustment before making a final adjustment. The three self-selected parameters, along with individual thresholds and real-ear-to-coupler differences, were used to compute output levels and SIIs for the starting and two self-adjusted conditions. The values were compared with an NAL second nonlinear threshold-based prescription

2018 Ear and hearing

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