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Intelligence Testing

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101. 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.

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2018 Sensors (Basel, Switzerland)

102. 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.

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2018 Sensors (Basel, Switzerland)

103. 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

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2018 Sensors (Basel, Switzerland)

104. 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

105. 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

106. 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

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2018 International Journal of Obesity

107. Deep Learning-Based Noise Reduction Approach to Improve Speech Intelligibility for Cochlear Implant Recipients. (PubMed)

noise, at 0 and 5 dB SNR levels. Two conventional NR techniques and the proposed deep learning-based approach are used to process the noisy utterances. We qualitatively compare the NR approaches by the amplitude envelope and spectrogram plots of the processed utterances. Quantitative objective measures include (1) normalized covariance measure to test the intelligibility of the utterances processed by each of the NR approaches; and (2) speech recognition tests conducted by nine Mandarin-speaking CI (...) recipients. These nine CI recipients use their own clinical speech processors during testing.The experimental results of objective evaluation and listening test indicate that under challenging listening conditions, the proposed NC + DDAE NR approach yields higher intelligibility scores than the two compared classical NR techniques, under both matched and mismatched training-testing conditions.When compared to the two well-known conventional NR techniques under challenging listening condition

2018 Ear and hearing

108. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images. (PubMed)

Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images. Image recognition using artificial intelligence with deep learning through convolutional neural networks (CNNs) has dramatically improved and been increasingly applied to medical fields for diagnostic imaging. We developed a CNN that can automatically detect gastric cancer in endoscopic images.A CNN-based diagnostic system was constructed based on Single Shot MultiBox (...) Detector architecture and trained using 13,584 endoscopic images of gastric cancer. To evaluate the diagnostic accuracy, an independent test set of 2296 stomach images collected from 69 consecutive patients with 77 gastric cancer lesions was applied to the constructed CNN.The CNN required 47 s to analyze 2296 test images. The CNN correctly diagnosed 71 of 77 gastric cancer lesions with an overall sensitivity of 92.2%, and 161 non-cancerous lesions were detected as gastric cancer, resulting

2018 Gastric Cancer

109. 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

110. SYNERGY-AI: Artificial Intelligence Based Precision Oncology Clinical Trial Matching and Registry

SYNERGY-AI: Artificial Intelligence Based Precision Oncology Clinical Trial Matching and Registry SYNERGY-AI: Artificial Intelligence Based Precision Oncology Clinical Trial Matching and Registry - 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. SYNERGY-AI: Artificial Intelligence Based Precision Oncology Clinical Trial Matching and Registry 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: NCT03452774 Recruitment Status

2018 Clinical Trials

111. Development of Artificial Intelligence System for Detection and Diagnosis of Breast Lesion Using Mammography

Development of Artificial Intelligence System for Detection and Diagnosis of Breast Lesion Using Mammography Development of Artificial Intelligence System for Detection and Diagnosis of Breast Lesion Using Mammography - 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 Artificial Intelligence System for Detection and Diagnosis of Breast Lesion Using Mammography 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

2018 Clinical Trials

112. Evaluation of the Effectiveness of a Program of Emotional Intelligence in Adolescents With Type 1 Diabetes (INTEDI)

Evaluation of the Effectiveness of a Program of Emotional Intelligence in Adolescents With Type 1 Diabetes (INTEDI) Evaluation of the Effectiveness of a Program of Emotional Intelligence in Adolescents With Type 1 Diabetes (INTEDI) - 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. Evaluation of the Effectiveness of a Program of Emotional Intelligence in Adolescents With Type 1 Diabetes (INTEDI) (INTEDI) 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

2018 Clinical Trials

113. Effect of acupuncture at 3-points for intelligence on vascular dementia: Protocol for a systematic review and meta-analysis of randomized controlled trials. (PubMed)

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

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2018 Medicine

114. Impact of an intelligent chronic disease management system on patients with type 2 diabetes mellitus in a Beijing community. (PubMed)

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

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2018 BMC health services research

115. Targeted Estimation of the Relationship Between Childhood Adversity and Fluid Intelligence in a US Population Sample of Adolescents. (PubMed)

(n = 10,073), we examined the associations between 11 childhood adversities and intelligence, using targeted maximum likelihood estimation. Targeted maximum likelihood estimation incorporates machine learning to identify the relationships between exposures and outcomes without overfitting, including interactions and nonlinearity. The nonverbal score from the Kaufman Brief Intelligence Test was used as a standardized measure of fluid reasoning. Childhood adversities were grouped into deprivation (...) Targeted Estimation of the Relationship Between Childhood Adversity and Fluid Intelligence in a US Population Sample of Adolescents. Many studies have shown inverse associations between childhood adversity and intelligence, although most are based on small clinical samples and fail to account for the effects of multiple co-occurring adversities. Using data from the 2001-2004 National Comorbidity Survey Adolescent Supplement, a cross-sectional US population study of adolescents aged 13-18 years

2018 American Journal of Epidemiology

116. FDA permits Artificial intelligence-based in diabetes-related eye problems

FDA permits Artificial intelligence-based in diabetes-related eye problems FDA permits Artificial intelligence-based in diabetes-related eye problems - Sumer's Radiology Blog Top Ad unit 728 × 90 Radiology News radiology FDA permits Artificial intelligence-based in diabetes-related eye problems FDA permits Artificial intelligence-based in diabetes-related eye problems Reference and Further Reading FDA permits Artificial intelligence-based in diabetes-related eye problems Reviewed by Sumer (...) Sethi on Thursday, April 12, 2018 Rating: 5 Tags : Sumer Sethi About Dr. Sumer Sethi Number of Entries : 35 Unique blend of academic excellence and entrepreneurship, heading leading firms in India- Teleradiology Providers, pioneering company providing teleradiology services and DAMS (Delhi Academy of Medical Sciences) Premier test preparation institute in India for MD/MS/MCI preparation. He has also been an invited faculty member at various conferences, including Teleradiology in IRIA 2008 and 2011

2018 Sumer's Radiology Blog

117. Effects of Hearing Loss and Fast-Acting Compression on Amplitude Modulation Perception and Speech Intelligibility. (PubMed)

Effects of Hearing Loss and Fast-Acting Compression on Amplitude Modulation Perception and Speech Intelligibility. The purpose was to investigate the effects of hearing-loss and fast-acting compression on speech intelligibility and two measures of temporal modulation sensitivity.Twelve adults with normal hearing (NH) and 16 adults with mild to moderately severe sensorineural hearing loss were tested. Amplitude modulation detection and modulation-depth discrimination (MDD) thresholds (...) with sinusoidal carriers of 1 or 5 kHz and modulators in the range from 8 to 256 Hz were used as measures of temporal modulation sensitivity. Speech intelligibility was assessed by obtaining speech reception thresholds in stationary and fluctuating background noise. All thresholds were obtained with and without compression (using a fixed compression ratio of 2:1).For modulation detection, the thresholds were similar or lower for the group with hearing loss than for the group with NH. In contrast, the MDD

2018 Ear and hearing

118. A "Goldilocks" Approach to Hearing Aid Self-Fitting: Ear-Canal Output and Speech Intelligibility Index. (PubMed)

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

119. Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence (PubMed)

Building predictive in vitro pulmonary toxicity assays using high-throughput imaging and artificial intelligence Human lungs are susceptible to the toxicity induced by soluble xenobiotics. However, the direct cellular effects of many pulmonotoxic chemicals are not always clear, and thus, a general in vitro assay for testing pulmonotoxicity applicable to a wide variety of chemicals is not currently available. Here, we report a study that uses high-throughput imaging and artificial intelligence (...) information (88.8% balance accuracy, 84.6% sensitivity, and 93.0% specificity). In comparison, the predictivity of a standard cell-viability assay on the same set of chemicals is much lower (77.1% balanced accuracy, 84.6% sensitivity, and 69.5% specificity). We also used the assay to evaluate 17 additional test chemicals with unknown/unclear human pulmonotoxicity, and experimentally confirmed that many of the pulmonotoxic reference and predicted-positive test chemicals induce DNA strand breaks

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2018 Archives of toxicology

120. Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines (PubMed)

Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines Health condition is a vital factor affecting printing quality for a 3D printer. In this work, an attitude monitoring approach is proposed to diagnose the fault of the delta 3D printer using support vector machines (SVM). An attitude sensor was mounted on the moving platform of the printer to monitor its 3-axial attitude angle, angular velocity, vibratory acceleration and magnetic field (...) training and testing. On the other hand, a back propagation neural network (BPNN) was also applied to diagnose fault using the same data. The best fault diagnosis accuracy (94.44%) was obtained when all channels of the attitude monitoring data were used with SVM modelling. The results indicate that the attitude monitoring with SVM is an effective method for the fault diagnosis of delta 3D printers.

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2018 Sensors (Basel, Switzerland)

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