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Intelligence Testing

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181. 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

182. 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)

183. 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

184. 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)

185. 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

186. 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

187. 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

188. 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

189. 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

190. Familiarization Effects on Consonant Intelligibility in Dysarthric Speech. Full Text available with Trip Pro

Familiarization Effects on Consonant Intelligibility in Dysarthric Speech. This study investigates the effects of familiarization on naïve listeners' ability to identify consonants in dysarthric speech.A total of 120 listeners (30 listeners/speaker) participated in experiments over a 6-week period. Listeners were randomly assigned to one of the three familiarization conditions: a passive condition in which listeners heard audio recordings of words, an active condition in which listeners heard (...) audio recordings of words while viewing the written material of words, and a control condition in which listeners had no exposure to the audio signal prior to identification tasks.Familiarization improved naïve listeners' ability to identify consonants produced by a speaker with dysarthria. The active familiarization method exhibited an advantage over the other conditions, in terms of the magnitude and rapidness of improvement. One-month delayed test scores were higher than pre-familiarization

2018 Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) Controlled trial quality: uncertain

191. Effects of an Educational Intervention on Emotional Intelligence in School Students

measured with EQi-YV and ERQ-CA questionnaires. Statistical analysis was made with Student's t and Mann-Whitney's U tests. Condition or disease Intervention/treatment Phase Emotional Intelligence Behavioral: Emotional Intelligence lessons Not Applicable Study Design Go to Layout table for study information Study Type : Interventional (Clinical Trial) Actual Enrollment : 179 participants Allocation: Randomized Intervention Model: Parallel Assignment Masking: Single (Outcomes Assessor) Primary Purpose (...) Effects of an Educational Intervention on Emotional Intelligence in School Students Effects of an Educational Intervention on Emotional Intelligence in School Students - 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

2018 Clinical Trials

192. Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children

Arms and Interventions Go to Arm Intervention/treatment Eligible patients for AI test. Device: An intelligent visual acuity diagnostic system for children. An artificial intelligence to evaluate children's vision. Device: An intelligent visual acuity diagnostic system for children An artificial intelligence to make evaluation and of children's vision. Outcome Measures Go to Primary Outcome Measures : The proportion of accurate, mistaken and miss detection of the intelligent visual acuity diagnostic (...) Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children Validation of the Utility of an Intelligent Visual Acuity Diagnostic System for Children - 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

2018 Clinical Trials

193. Artificial Intelligence Identifying Polyps in Real-world Colonoscopy

Artificial Intelligence Identifying Polyps in Real-world Colonoscopy Artificial Intelligence Identifying Polyps in Real-world Colonoscopy - 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 Identifying Polyps in Real-world Colonoscopy 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: NCT03761771 Recruitment Status : Completed First Posted : December 3, 2018 Last Update Posted : December 17, 2018 Sponsor: Zhaoshen Li Information provided by (Responsible Party): Zhaoshen Li, Changhai

2018 Clinical Trials

194. Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma

Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma - 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 for Early Diagnosis of Esophageal Squamous Cell Carcinoma 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: NCT03759756 Recruitment Status : Recruiting First Posted : November 30, 2018 Last

2018 Clinical Trials

195. Artificial Intelligence-Assisted Auscultation of Heart Murmurs: Validation by Virtual Clinical Trial. (Abstract)

Artificial Intelligence-Assisted Auscultation of Heart Murmurs: Validation by Virtual Clinical Trial. Artificial intelligence (AI) has potential to improve the accuracy of screening for valvular and congenital heart disease by auscultation. However, despite recent advances in signal processing and classification algorithms focused on heart sounds, clinical acceptance of this technology has been limited, in part due to lack of objective performance data. We hypothesized that a heart murmur (...) detection algorithm could be quantitatively and objectively evaluated by virtual clinical trial. All cases from the Johns Hopkins Cardiac Auscultatory Recording Database (CARD) with either a pathologic murmur, an innocent murmur or no murmur were selected. The test algorithm, developed independently of CARD, analyzed each recording using an automated batch processing protocol. 3180 heart sound recordings from 603 outpatient visits were selected from CARD. Algorithm estimation of heart rate was similar

2018 Pediatric Cardiology

196. Performance of artificial intelligence in human pathology: a systematic review

Performance of artificial intelligence in human pathology: 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 record, any associated files or external websites. Email (...) 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

2020 PROSPERO

197. Evaluating the relationship between emotional intelligence and cognitive disorders in patients with Multiple Sclerosis Full Text available with Trip Pro

between emotional intelligence and cognitive disorders in patients with Multiple Sclerosis (MS). Methods: The demographic data of 92 MS patients participating in this study were recorded. The emotional intelligence and cognitive disorders were studied using the Bradberry-Greaves, and MS Neuropsychological Questionnaire (MSNQ) tests, respectively. Results: 16 men and 76 women were considered in this study. The mean age of the participants was 33.4 years, the mean duration of the disease was 6.8 years (...) Evaluating the relationship between emotional intelligence and cognitive disorders in patients with Multiple Sclerosis Background: Emotional intelligence refers to a process through which an individual is not only capable of understanding his/her/others' emotions, but also is able to manage them. Emotional intelligence can get disturbed due to different neurological diseases. Since cognition and emotion are directly and closely related, the present study aims to evaluate the relationship

2018 Iranian journal of neurology

198. Self-Adjusted Amplification Parameters Produce Large Between-Subject Variability and Preserve Speech Intelligibility Full Text available with Trip Pro

and audiologist-fit gain indicated consistent within-subject performance but a great deal of between-subject variability. Gain selection did not strongly affect intelligibility within the range of signal-to-noise ratios tested. Implications from the findings are that individual listeners have consistent preferences for gain and may prefer gain configurations that differ greatly from National Acoustic Laboratories-based prescriptions in quiet and in noise. (...) Self-Adjusted Amplification Parameters Produce Large Between-Subject Variability and Preserve Speech Intelligibility The current study used the self-fitting algorithm to allow listeners to self-adjust hearing-aid gain or compression parameters to select gain for speech understanding in a variety of quiet and noise conditions. Thirty listeners with mild to moderate sensorineural hearing loss adjusted gain parameters in quiet and in several types of noise. Outcomes from self-adjusted gain

2018 Trends in hearing

199. The Power of EI Competencies Over Intelligence and Individual Performance: A Task-Dependent Model Full Text available with Trip Pro

The Power of EI Competencies Over Intelligence and Individual Performance: A Task-Dependent Model Prior research on emotional intelligence (EI) has highlighted the use of incremental models that assume EI and general intelligence (or g) make independent contributions to performance. Questioning this assumption, we study EI's moderation power over the relationship between g and individual performance, by designing and testing a task-dependent interaction model. Reconciling divergent findings

2018 Frontiers in psychology

200. Functional diversity of brain networks supports consciousness and verbal intelligence Full Text available with Trip Pro

these systems in response to external stimulation predicted higher intellectual abilities during conscious cognition, in particular higher verbal acuity scores in independent cognitive testing battery. These convergent findings suggest that the responsivity of sensory and higher-order brain systems to external stimulation, especially through the diversification of their functional responses is an essential feature of conscious cognition and verbal intelligence. (...) Functional diversity of brain networks supports consciousness and verbal intelligence How are the myriad stimuli arriving at our senses transformed into conscious thought? To address this question, in a series of studies, we asked whether a common mechanism underlies loss of information processing in unconscious states across different conditions, which could shed light on the brain mechanisms of conscious cognition. With a novel approach, we brought together for the first time, data from

2018 Scientific reports

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