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101. Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment

Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment Validation of an Artificial Intelligence-based Algorithm for Skeletal Age 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. Validation of an Artificial Intelligence-based Algorithm for Skeletal Age 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: NCT03530098 Recruitment Status : Enrolling by invitation First Posted : May 21, 2018 Last Update Posted : February 20, 2019 Sponsor: Stanford University

2018 Clinical Trials

102. 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

103. Artificial Intelligence-assisted Glaucoma Screening (AIAGS)

General Hospital, Shanghai Jiao Tong University School of Medicine Information provided by (Responsible Party): Haiyan Wang, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine Study Details Study Description Go to Brief Summary: This study will develop an artificial intelligence (AI) program for the screening of glaucoma. Condition or disease Intervention/treatment Glaucoma Eye Diagnostic Test: Fundus Image Detailed Description: We have realized that the glaucomatous optic (...) Artificial Intelligence-assisted Glaucoma Screening (AIAGS) Artificial Intelligence-assisted Glaucoma Screening (AIAGS) - 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-assisted

2018 Clinical Trials

104. Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases

Perspective: Cross-Sectional Official Title: Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases Actual Study Start Date : July 10, 2017 Estimated Primary Completion Date : December 31, 2019 Estimated Study Completion Date : February 28, 2020 Resource links provided by the National Library of Medicine related topics: Groups and Cohorts Go to Group/Cohort Intervention/treatment Model establishment and test group Patients undergoing coronary (...) Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases Artificial Intelligence to Assess the Association Between Facial Characteristics and Coronary Artery Diseases - 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

2018 Clinical Trials

105. 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

106. Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease

Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease - 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 (...) . Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease (ARISES) 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: NCT03643692 Recruitment Status : Recruiting First Posted : August 23, 2018 Last Update

2018 Clinical Trials

107. Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups. (Abstract)

Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups. The advantages of Robot-assisted laparoscopic prostatectomy (RARP) over open radical prostatectomy (ORP) in Prostate cancer perioperatively are well-established, but quality of life is more contentious. Increasingly, patients are utilising online cancer support groups (OCSG) to express themselves. Currently there is no method (...) of analysis of these sophisticated data sources. We have used the PRIME-2 (Patient Reported Information Multidimensional Exploration version 2) framework for automated identification and intelligent analysis of decision-making, functional and emotional outcomes in men undergoing ORP vs. RARP from OCSG discussions.The PRIME-2 framework was developed to retrospectively analyse individualised patient-reported information from 5,157 patients undergoing RARP and 579 ORP. The decision factors, side effects

2018 Urologic oncology

108. The diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks. (Abstract)

The diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks. The prognosis of esophageal cancer is relatively poor. Patients are usually diagnosed at an advanced stage when it is often too late for effective treatment. Recently, artificial intelligence (AI) using deep learning has made remarkable progress in medicine. However, there are no reports on its application for diagnosing esophageal cancer. Here, we demonstrate the diagnostic ability (...) of AI to detect esophageal cancer including squamous cell carcinoma and adenocarcinoma.We retrospectively collected 8428 training images of esophageal cancer from 384 patients at the Cancer Institute Hospital, Japan. Using these, we developed deep learning through convolutional neural networks (CNNs). We also prepared 1118 test images for 47 patients with 49 esophageal cancers and 50 patients without esophageal cancer to evaluate the diagnostic accuracy.The CNN took 27 seconds to analyze 1118 test

2018 Gastrointestinal endoscopy

109. An accurate assessment tool based on intelligent technique for suitability of soybean cropland: case study in Kebumen Regency, Indonesia Full Text available with Trip Pro

An accurate assessment tool based on intelligent technique for suitability of soybean cropland: case study in Kebumen Regency, Indonesia In the last few years, the decrease in the land use of soybean affected the reduced of soybean production. Land suitability assessment is an effort to increase the soybean production since the manual method was less accurate. This study aims to apply fuzzy sets and AHP to improve the accuracy of the assessment process of land suitability for soybean crops (...) (S2), 11.25% was marginally suitable (S3) and of 7.33% was not suitable (N). From the results of land suitability assessment for soybean crops has been tested and has good correlation with the yield conditions. This study showed that the proposed tool based on Fuzzy sets and AHP were accurate to assess the land suitability of soybean and can be used as the basis for agricultural planning to optimize the land use and soybean production.

2018 Heliyon

110. Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines Full Text available with Trip Pro

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.

2018 Sensors (Basel, Switzerland)

111. Design, Analysis and Experiment of a Tactile Force Sensor for Underwater Dexterous Hand Intelligent Grasping Full Text available with Trip Pro

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.

2018 Sensors (Basel, Switzerland)

112. Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms Full Text available with Trip Pro

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.

2018 Sensors (Basel, Switzerland)

113. Prolonged dexmedetomidine infusion in critically ill adult patients: a retrospective analysis of a large clinical database Multiparameter Intelligent Monitoring in Intensive Care III Full Text available with Trip Pro

Prolonged dexmedetomidine infusion in critically ill adult patients: a retrospective analysis of a large clinical database Multiparameter Intelligent Monitoring in Intensive Care III There is no conclusive evidence for the effects of prolonged infusion of dexmedetomidine in critically ill patients. We aimed to investigate the safety of long-term dexmedetomidine infusion in a large critically ill patients cohort from the Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC-III (...) ) database.We retrospectively extracted records from MIMIC-III database. Dexmedetomidine administration time was the basis for group. Variables were compared by chi-square tests, and Mann-Whitney U test as appropriate. We used logistic regression model for multivariate analysis. Contour maps were drawn to measure rebound of heart rate (HR) and blood pressure (BP).We finally got 1,946 records including 1,368 distinct individuals. Age, body mass index (BMI), length of stay in hospital, accumulated doses

2018 Annals of Translational Medicine

114. A Comprehensive Feature Analysis of the Fetal Heart Rate Signal for the Intelligent Assessment of Fetal State Full Text available with Trip Pro

A Comprehensive Feature Analysis of the Fetal Heart Rate Signal for the Intelligent Assessment of Fetal State Continuous monitoring of the fetal heart rate (FHR) signal has been widely used to allow obstetricians to obtain detailed physiological information about newborns. However, visual interpretation of FHR traces causes inter-observer and intra-observer variability. Therefore, this study proposed a novel computerized analysis software of the FHR signal (CAS-FHR), aimed at providing medical (...) decision support. First, to the best of our knowledge, the software extracted the most comprehensive features (47) from different domains, including morphological, time, and frequency and nonlinear domains. Then, for the intelligent assessment of fetal state, three representative machine learning algorithms (decision tree (DT), support vector machine (SVM), and adaptive boosting (AdaBoost)) were chosen to execute the classification stage. To improve the performance, feature selection/dimensionality

2018 Journal of clinical medicine

115. An intraspecific appraisal of the social intelligence hypothesis Full Text available with Trip Pro

An intraspecific appraisal of the social intelligence hypothesis The prevailing hypotheses for the evolution of cognition focus on either the demands associated with group living (the social intelligence hypothesis (SIH)) or ecological challenges such as finding food. Comparative studies testing these hypotheses have generated highly conflicting results; consequently, our understanding of the drivers of cognitive evolution remains limited. To understand how selection shapes cognition, research

2018 Philosophical Transactions of the Royal Society B: Biological Sciences

116. Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data Full Text available with Trip Pro

an independent sample t-test. We further developed a supervised machine-learning-based prediction model to predict event or no-event based on the sensor data and demographic information. A mean area under curve (ROC AUC) of 90.16% with 96.21% mean precision, and 88.47% mean recall was achieved. Our findings point towards the novel use of non-contact sensors in clinical settings to monitor the vital parameters of patients and the further development of early warning solutions using artificial intelligence (AI (...) Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data Non-contact sensors are gaining popularity in clinical settings to monitor the vital parameters of patients. In this study, we used a non-contact sensor device to monitor vital parameters like the heart rate, respiration rate, and heart rate variability of hemodialysis (HD) patients for a period of 23 weeks during their HD sessions. During these 23 weeks, a total number of 3237

2018 Sensors (Basel, Switzerland)

117. Effect of Hearing Aid Directionality and Remote Microphone on Speech Intelligibility in Complex Listening Situations Full Text available with Trip Pro

in complex listening situations in the laboratory. Speech intelligibility was investigated in 15 experienced severely hearing impaired participants in a noisy environment using a dual-task test paradigm where the tasks were presented from either a near field or a far field loudspeaker. Primary and secondary tasks were presented simultaneously so attention had to be shared on both tasks. In a second experiment, two speech intelligibility tests were presented from either the near field or the far field (...) confirmed by the results of the interleaved speech intelligibility test.

2018 Trends in hearing

118. Creativity Style and Achievements: An Investigation on the Role of Emotional Competence, Individual Differences, and Psychometric Intelligence Full Text available with Trip Pro

(EC) predicted creativity. We selected a sample of 376 participants aged 12-88 (mean age = 30.28 years, SD = 19.09 years; 224 females) to evaluate relationships between these constructs across lifespan. Participants were administered the Kaufman Brief Intelligence Test-2, the Short Profile of EC, the Creativity Style Questionnaire Revised (CSQ-R) and the Creative Achievement Questionnaire (CAQ). T-test on gender differences evidenced that males had higher creativity achievements compared (...) Creativity Style and Achievements: An Investigation on the Role of Emotional Competence, Individual Differences, and Psychometric Intelligence Psychometric and emotional intelligence are considered as two separate theoretical constructs, although each one has been found to correlate to a certain degree with measures of creativity. The aim of the present study was to analyze whether individual differences such as age and gender, together with psychometric intelligence and emotional competence

2018 Frontiers in psychology

119. Association between lower estimated premorbid intelligence quotient and smoking behavior in patients with schizophrenia Full Text available with Trip Pro

for age, sex, and ethnicity (Japanese). Premorbid intelligence quotient was estimated using the Japanese Adult Reading Test and distress symptoms were assessed using the Hopkins Symptom Check List. Current smoking information was collected according to self-declarations.As expected, the smoking rate was higher, while mean education level and Japanese Adult Reading Test scores were significantly lower, in patients with schizophrenia than in healthy individuals (p < 0.01). The mean education level (...) Association between lower estimated premorbid intelligence quotient and smoking behavior in patients with schizophrenia We aimed to investigate the involvement of premorbid intelligence quotient in higher prevalence of smoking in patients with schizophrenia.Participants included 190 patients with schizophrenia (mean ± standard deviation age: 37.7 ± 10.8 years; 88 males and 102 females) and 312 healthy individuals (mean ± standard deviation age: 38.1 ± 13.8; 166 males and 146 females), matched

2018 Schizophrenia Research: Cognition

120. “Plutchik”: artificial intelligence chatbot for searching NCBI databases Full Text available with Trip Pro

“Plutchik”: artificial intelligence chatbot for searching NCBI databases As genetic testing gains ground in medicine, the ability to search across the suite of biomedical and clinical care databases offered through the National Library of Medicine/National Center for Biotechnology Information (NCBI)-such as PubMed, GENE, Structure, the Genetic Testing Registry, and others-holds the potential to enhance quality of clinical care best practices. "Plutchik" is a voice-enabled, embodied (...) artificial intelligence (AI) chatbot that can perform highly technical medical searches in and across the NCBI suite of databases.

2018 Journal of the Medical Library Association : JMLA

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