AIMC Topic: Humans

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The Significance of Software Engineering to Forecast the Public Health Issues: A Case of Saudi Arabia.

Frontiers in public health
In the recent years, public health has become a core issue addressed by researchers. However, because of our limited knowledge, studies mainly focus on the causes of public health issues. On the contrary, this study provides forecasts of public healt...

Deep Learning-Based Computed Tomography Features in Evaluating Early Screening and Risk Factors for Chronic Obstructive Pulmonary Disease.

Contrast media & molecular imaging
This research aimed to investigate the diagnostic effect of computed tomography (CT) images based on a deep learning double residual convolution neural network (DRCNN) model on chronic obstructive pulmonary disease (COPD) and the related risk factors...

An Intelligent Cost-Efficient System to Prevent the Improper Posture Hazards in Offices Using Machine Learning Algorithms.

Computational intelligence and neuroscience
In this research, an intelligent and cost-efficient system has been proposed to detect the improper sitting posture of a person working at a desk, mostly in offices, using machine learning classification techniques. The current era demands to avoid t...

Analysis of the Current Situation of Teaching and Learning of Ideological and Political Theory Courses by Deep Learning.

Computational intelligence and neuroscience
The objectives are to solve the problems existing in the current ideological and political theory courses, such as the difficulty of classroom teaching quality assessment, the confusion of teachers' classroom process management, and the lack of objec...

Metaheuristic Optimization-Driven Novel Deep Learning Approach for Brain Tumor Segmentation.

BioMed research international
Brain tumor has the foremost distinguished etiology of high morality. Neoplasm, a categorization of brain tumors, is very operative in distinguishing and determining the tumor's exact location in the brain. Magnetic resonance imaging (MRI) is an effi...

Diagnosis of temporomandibular disorders using artificial intelligence technologies: A systematic review and meta-analysis.

PloS one
BACKGROUND: Artificial intelligence (AI) algorithms have been applied to diagnose temporomandibular disorders (TMDs). However, studies have used different patient selection criteria, disease subtypes, input data, and outcome measures. Resultantly, th...

ReLU-FCM trained by quasi-oppositional bare bone imperialist competition algorithm for predicting employment rate.

PloS one
Fuzzy cognitive maps (FCMs) are a powerful tool for system modeling, which can be used for static and dynamic analysis. However, traditional FCMs are usually learned by gradient-based methods, and the adopted sigmoid nonlinear activation function fre...

Robotics is useful for less-experienced surgeons in spinal deformity surgery.

European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
PURPOSE: To verify whether robotics was useful for surgeons who had less experience with spinal deformity surgery.

Novel deep learning-based computer-aided diagnosis system for predicting inflammatory activity in ulcerative colitis.

Gastrointestinal endoscopy
BACKGROUND AND AIMS: Endoscopy is increasingly performed for evaluating patients with ulcerative colitis (UC). However, its diagnostic accuracy is largely affected by the subjectivity of endoscopists' experience and scoring methods, and scoring of se...