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41. Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients. Full Text available with Trip Pro

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

2019 PLoS ONE

42. Study on intelligent syndrome differentiation neural network model of stomachache in traditional Chinese medicine based on the real world. Full Text available with Trip Pro

on Matlab, respectively. Finally, the differentiation performance of the 2 models was tested and analyzed.The testing results showed that the improved third-order convergence LM algorithm model has better average prediction and diagnosis accuracy, especially in predicting "liver-stomach disharmony" and "stomach yang deficiency", is above 95%.By effectively using the self-learning and auto-update ability of the BP neural network, the intelligent syndrome differentiation model of TCM can fully approach (...) Study on intelligent syndrome differentiation neural network model of stomachache in traditional Chinese medicine based on the real world. Stomachache is not only disease name of Traditional Chinese medicine (TCM) but also the clinical symptom. It is a common and multiple diseases. TCM has its particular advantage in clinical treatment of stomachache. Syndrome differentiation is an important concept in TCM practice. The therapeutic process is virtually a nonlinear mapping process from clinical

2020 Medicine

43. Analysis of Collective Human Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Gamification Via a Web-Based Training Platform: Simulation Reader Study. Full Text available with Trip Pro

images to 1 of the 7 disease categories. The readers could repeat the test with different lesions at their own discretion. Collective human intelligence was achieved by sampling answers from multiple readers. The disease category with most votes was regarded as the collective vote per image.We collected 111,019 single ratings, with a mean of 25.2 (SD 18.5) ratings per image. As single raters, nonexperts achieved a lower mean accuracy (58.6%) than experts (68.4%; mean difference=-9.4%; 95% CI -10.74 (...) Analysis of Collective Human Intelligence for Diagnosis of Pigmented Skin Lesions Harnessed by Gamification Via a Web-Based Training Platform: Simulation Reader Study. The diagnosis of pigmented skin lesion is error prone and requires domain-specific expertise, which is not readily available in many parts of the world. Collective intelligence could potentially decrease the error rates of nonexperts.The aim of this study was to evaluate the feasibility and impact of collective intelligence

2020 Journal of medical Internet research

44. Early detection of ST-segment elevated myocardial infarction by artificial intelligence with 12-lead electrocardiogram. (Abstract)

Early detection of ST-segment elevated myocardial infarction by artificial intelligence with 12-lead electrocardiogram. Patient delay is a worldwide unsolved problem in ST-segment elevated myocardial infarction (STEMI). An accurate warning system based on electrocardiogram (ECG) may be a solution for this problem, and artificial intelligence (AI) may offer a path to improve its accuracy and efficiency. In the present study, an AI-based STEMI autodiagnosis algorithm was developed using a dataset (...) of 667 STEMI ECGs and 7571 control ECGs. The algorithm for detecting STEMI proposed in the present study achieved an area under the receiver operating curve (AUC) of 0.9954 (95% CI, 0.9885 to 1) with sensitivity (recall), specificity, accuracy, precision and F1 scores of 96.75%, 99.20%, 99.01%, 90.86% and 0.9372 respectively, in the external evaluation. In a comparative test with cardiologists, the algorithm had an AUC of 0.9740 (95% CI, 0.9419 to 1), and its sensitivity (recall), specificity

2020 International journal of cardiology

45. Formalizing video documentation of the Critical View of Safety in laparoscopic cholecystectomy: a step towards artificial intelligence assistance to improve surgical safety. (Abstract)

Formalizing video documentation of the Critical View of Safety in laparoscopic cholecystectomy: a step towards artificial intelligence assistance to improve surgical safety. In laparoscopic cholecystectomy (LC), achievement of the Critical View of Safety (CVS) is commonly advocated to prevent bile duct injuries (BDI). However, BDI rates remain stable, probably due to inconsistent application or a poor understanding of CVS as well as unreliable reporting. Objective video reporting could serve (...) for quality auditing and help generate consistent datasets for deep learning models aimed at intraoperative assistance. In this study, we develop and test a method to report CVS using videos.LC videos performed at our institution were retrieved and the video segments starting 60 s prior to the division of cystic structures were edited. Two independent reviewers assessed CVS using an adaptation of the doublet view 6-point scale and a novel binary method in which each criterion is considered either achieved

2020 Surgical endoscopy

46. Molecular intelligence (Caris Life Sciences)

Molecular intelligence (Caris Life Sciences) Molecular intelligence (Caris Life Sciences) Molecular intelligence (Caris Life Sciences) HAYES, Inc. Record Status This is a bibliographic record of a published health technology assessment from a member of INAHTA. No evaluation of the quality of this assessment has been made for the HTA database. Citation HAYES, Inc.. Molecular intelligence (Caris Life Sciences) Lansdale: HAYES, Inc.. Genetic Testing Publication. 2016 Authors' conclusions (...) of cancer—has become commercially available in the last few years (Gray et al., 2014; Epelbaum et al., 2015). Molecular Intelligence (MI) is a set of molecular biomarker tests that may be ordered within a predefined profile or individually, offered as part of a tumor profiling service provided by Caris Life Sciences. It is based upon a previous test known as Target Now Molecular Profiling. MI differs from Target Now in its methodology platform, which incorporates next-generation sequencing (NGS

2016 Health Technology Assessment (HTA) Database.

47. Word sense disambiguation using hybrid swarm intelligence approach. Full Text available with Trip Pro

Word sense disambiguation using hybrid swarm intelligence approach. Word sense disambiguation (WSD) is the process of identifying an appropriate sense for an ambiguous word. With the complexity of human languages in which a single word could yield different meanings, WSD has been utilized by several domains of interests such as search engines and machine translations. The literature shows a vast number of techniques used for the process of WSD. Recently, researchers have focused on the use (...) as objective functions for the proposed hybrid PSO. These measures consist of JCN and extended Lesk methods, which are combined effectively in this work. The proposed method is tested using a three-benchmark dataset (SemCor 3.0, SensEval-2, and SensEval-3). Results show that the proposed method has superior performance in comparison with state-of-the-art approaches.

2018 PLoS ONE

48. Adolescents show collective intelligence which can be driven by a geometric mean rule of thumb. Full Text available with Trip Pro

that adolescents at least as young as 11 years old improve their estimation accuracy after a period of group discussion, demonstrating collective intelligence. Although this effect was robust to the overall distribution of initial estimates, when the task generated positively skewed estimates, the geometric mean of initial estimates gave the best fit to the data compared to other tested aggregation rules. A geometric mean heuristic in consensus decision making is also likely to apply to adults, as it provides (...) Adolescents show collective intelligence which can be driven by a geometric mean rule of thumb. How effective groups are in making decisions is a long-standing question in studying human and animal behaviour. Despite the limited social and cognitive abilities of younger people, skills which are often required for collective intelligence, studies of group performance have been limited to adults. Using a simple task of estimating the number of sweets in jars, we show in two experiments

2018 PLoS ONE

49. Enhanced intelligent water drops algorithm for multi-depot vehicle routing problem. Full Text available with Trip Pro

of the probability of acceptance criteria, are investigated. The exponential calculation of the probability of acceptance criteria for the simulated annealing based techniques is computationally expensive. Therefore, in order to maximize the performance of the intelligent water drop algorithm using simulated annealing, a better way of calculating the probability of acceptance criteria is considered. The performance of the proposed hybrid algorithm is evaluated by using 33 standard test problems, with the results (...) Enhanced intelligent water drops algorithm for multi-depot vehicle routing problem. The intelligent water drop algorithm is a swarm-based metaheuristic algorithm, inspired by the characteristics of water drops in the river and the environmental changes resulting from the action of the flowing river. Since its appearance as an alternative stochastic optimization method, the algorithm has found applications in solving a wide range of combinatorial and functional optimization problems. This paper

2018 PLoS ONE

50. Brain entropy and human intelligence: A resting-state fMRI study. Full Text available with Trip Pro

access. This study investigates the relationship between human intelligence and brain entropy, to determine whether neural variability as reflected in neuroimaging signals carries information about intellectual ability. We hypothesize that intelligence will be positively associated with entropy in a sample of 892 healthy adults, using resting-state fMRI. Intelligence is measured with the Shipley Vocabulary and WASI Matrix Reasoning tests. Brain entropy was positively associated with intelligence (...) Brain entropy and human intelligence: A resting-state fMRI study. Human intelligence comprises comprehension of and reasoning about an infinitely variable external environment. A brain capable of large variability in neural configurations, or states, will more easily understand and predict variable external events. Entropy measures the variety of configurations possible within a system, and recently the concept of brain entropy has been defined as the number of neural states a given brain can

2018 PLoS ONE

51. Protein subnuclear localization based on a new effective representation and intelligent kernel linear discriminant analysis by dichotomous greedy genetic algorithm. Full Text available with Trip Pro

) to intelligently select its kernel bandwidth parameter. Two public datasets with Jackknife test and KNN classifier were used for the numerical experiments. The results showed that the overall success rate (OSR) with single representation CoPSSM is larger than that with many relevant representations. The OSR of the proposed method can reach as high as 87.444% and 90.3361% for these two datasets, respectively, outperforming many current methods. To show the generalization of the proposed algorithm, two extra (...) Protein subnuclear localization based on a new effective representation and intelligent kernel linear discriminant analysis by dichotomous greedy genetic algorithm. A wide variety of methods have been proposed in protein subnuclear localization to improve the prediction accuracy. However, one important trend of these means is to treat fusion representation by fusing multiple feature representations, of which, the fusion process takes a lot of time. In view of this, this paper novelly proposed

2018 PLoS ONE

52. Crystallized and fluid intelligence of university students with intellectual disability who are fully integrated versus those who studied in adapted enrichment courses. Full Text available with Trip Pro

: (a) separate adapted enrichment model: students with ID study in separate enrichment courses adapted to their level; (b) full inclusion model: students with ID are included in undergraduate courses, receive academic credits and are expected to accumulate the amount of credits for a B.A.(a) To examine whether crystallized and fluid intelligence and cognitive tests can serve as screening tests for determining the appropriate placement of students with ID for the adapted enrichment model versus the full (...) inclusion model. (b) To examine the attitudes towards the program of students with ID in the inclusion model.The sample included 31 adults with ID: students with ID who were fully included (N = 10) and students with ID who participated in the adapted enrichment model (N = 21). Crystallized and fluid intelligence were examined (WAIS-III, Wechsler, 1997) and Hebrew abstract verbal tests (Glanz, 1989). Semi-structured interviews were conducted in order to examine the attitudes of students in the inclusion

2018 PLoS ONE

53. Comprehensive In Vitro Toxicity Testing of a Panel of Representative Oxide Nanomaterials: First Steps towards an Intelligent Testing Strategy Full Text available with Trip Pro

Comprehensive In Vitro Toxicity Testing of a Panel of Representative Oxide Nanomaterials: First Steps towards an Intelligent Testing Strategy Nanomaterials (NMs) display many unique and useful physico-chemical properties. However, reliable approaches are needed for risk assessment of NMs. The present study was performed in the FP7-MARINA project, with the objective to identify and evaluate in vitro test methods for toxicity assessment in order to facilitate the development of an intelligent (...) testing strategy (ITS). Six representative oxide NMs provided by the EC-JRC Nanomaterials Repository were tested in nine laboratories. The in vitro toxicity of NMs was evaluated in 12 cellular models representing 6 different target organs/systems (immune system, respiratory system, gastrointestinal system, reproductive organs, kidney and embryonic tissues). The toxicity assessment was conducted using 10 different assays for cytotoxicity, embryotoxicity, epithelial integrity, cytokine secretion

2015 PloS one

54. The Effectiveness of a Resilience Intervention Program on Emotional Intelligence of Adolescent Students with Hearing Loss. Full Text available with Trip Pro

The Effectiveness of a Resilience Intervention Program on Emotional Intelligence of Adolescent Students with Hearing Loss. Adolescents with hearing loss have been shown to have some emotional difficulties. This study investigated the effectiveness of a resilience training program on the emotional intelligence of mainstreamed adolescent students with hearing loss. In this experimental study, a pre-test, post-test, follow up and control group design was implemented. After receiving informed (...) , despising and ridiculing, intra- and interpersonal skills. The Connor-Davidson resilience scale (CD-RISC) and the Schutte Emotional Intelligence Scale were used to measure the resilience and the emotional intelligence (EI) of participants respectively just before intervention, as well as at the 6- and 14-week marks. The Friedman Test was used to compare changes in emotional intelligence between interventional and control groups. The intervention increased the resilience scores by 20 points. Although

2019 Children (Basel, Switzerland) Controlled trial quality: uncertain

55. The Effect of Emotional Intelligence Training on Self-efficacy in Women with Multiple Sclerosis. Full Text available with Trip Pro

The Effect of Emotional Intelligence Training on Self-efficacy in Women with Multiple Sclerosis. Multiple sclerosis (MS), a chronic disease of the central nervous system (CNS), causing progressive nerve damage, has disabling symptoms, and undermines self-efficacy beliefs. Due to the importance of self-efficacy modified in adaptation and coping with stress, this study was conducted with the aim to investigate the effect of emotional intelligence training on self-efficacy in women with MS.This (...) randomized clinical trial was conducted on 70 women referring to the Multiple Sclerosis Clinic of Kashani Hospital, Isfahan, Iran. The participants were randomly assigned to two groups through minimization method. In the experimental group, emotional intelligence training was performed within 8 weeks, once a week for 90 minutes, in groups of 8-9 individuals. Data were collected using the Multiple Sclerosis Self-efficacy Scale (MSSS) before, immediately after, and 3 months after the intervention in both

2019 Iranian journal of nursing and midwifery research Controlled trial quality: uncertain

56. Design and research of intelligent motion intervention system for infectious diseases. Full Text available with Trip Pro

, system implementation and system testing. Finally, it is verified that its function and performance can meet people's needs and achieve the desired goals. At the same time, it provides useful reference for standardizing drug use behavior, improving drug efficacy, reducing adverse reactions, and improving the level of clinical treatment. Thus, under the intervention of intelligent motor system based on K-proximity algorithm, rehabilitation treatment of chronic diseases can not only reduce the physical (...) Design and research of intelligent motion intervention system for infectious diseases. In order to provide a more valuable means of examination, treatment and rehabilitation for patients with chronic diseases by using the intelligent motion control training system, simple obesity, diabetes mellitus, heart disease, hypertension and other four types of chronic diseases with the highest incidence of diseases are taken as the research object. Several patients with each disease are randomly divided

2019 Journal of infection and public health Controlled trial quality: uncertain

57. Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments. Full Text available with Trip Pro

Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments. Background and purpose - Artificial intelligence has rapidly become a powerful method in image analysis with the use of convolutional neural networks (CNNs). We assessed the ability of a CNN, with a fast object detection algorithm previously identifying the regions of interest, to detect distal radius fractures (DRFs) on anterior-posterior (AP) wrist (...) groups. Results - The object detection model achieved a high average IOU, and none of the IOUs had a value less than 0.5. The AUC of the CNN for this test was 0.96. The network had better performance in distinguishing images with DRFs from normal images compared with a group of radiologists in terms of the accuracy, sensitivity, specificity, and Youden Index. The network presented a similar diagnostic performance to that of the orthopedists in terms of these variables. Interpretation - The network

2019 Acta Orthopaedica

58. Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility. (Abstract)

Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility. Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial intelligence (AI) to optimize the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS (...) of the systems was compared by using a test set of the final 100 nodules with interpretations from the expert reader, eight nonexpert readers, and an expert panel. Initial performance of AI TI-RADS was calculated by using a test for differences between binomial proportions. Additional comparisons across readers were conducted by using bootstrapping; diagnostic performance was assessed by using area under the receiver operating curve. Results AI TI-RADS assigned new point values for eight ACR TI-RADS features

2019 Radiology

59. Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain. Full Text available with Trip Pro

Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain. For many years, clinicians have been seeking for objective pain assessment solutions via neuroimaging techniques, focusing on the brain to detect human pain. Unfortunately, most of those techniques are not applicable in the clinical environment or lack accuracy.This study aimed to test the feasibility of a mobile neuroimaging-based clinical augmented (...) reality (AR) and artificial intelligence (AI) framework, CLARAi, for objective pain detection and also localization direct from the patient's brain in real time.Clinical dental pain was triggered in 21 patients by hypersensitive tooth stimulation with 20 consecutive descending cold stimulations (32°C-0°C). We used a portable optical neuroimaging technology, functional near-infrared spectroscopy, to gauge their cortical activity during evoked acute clinical pain. The data were decoded using a neural

2019 Journal of medical Internet research

60. Assessing the effectiveness of artificial intelligence methods for melanoma:A retrospective review. (Abstract)

Assessing the effectiveness of artificial intelligence methods for melanoma:A retrospective review. [Artificial intelligence methods for the classification of melanoma have been studied extensively. However, few studies compare these methods under the same standards.] OBJECTIVE: [Seek the best artificial intelligence method for diagnosis of melanoma.] METHODS: [A total of 2200 dermoscopy images were used for contrast test. Image segmentations, feature extractions and classifications were

2019 Journal of American Academy of Dermatology

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