AIMC Topic: Humans

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Evaluation of the Quality of Football Teaching in Colleges and Universities Based on Artificial Neural Networks.

Computational intelligence and neuroscience
Every country is developing under the concept of artificial intelligence. Many countries are already working on student monitoring systems that allow them to control the student's mentality and analyze each student's behavior with the help of a wirel...

Garment Design Models Combining Bayesian Classifier and Decision Tree Algorithm.

Computational intelligence and neuroscience
With the rapid economic development and rising consumption levels in recent years, people are becoming more and more demanding in terms of style and fashion of clothes. As a result, customer demand for personalised clothing is increasing and the need...

Network Information Security Platform Based on Artificial Intelligence for the Elderly's Health "Integration of Physical, Medical, and Nursing Care".

Computational and mathematical methods in medicine
With the development of my country's economy and society and the improvement of civilization, the silver wave has gradually come. The country has launched a multifaceted pension model, such as institutional pension, home-based pension, and pension re...

Nonparametric estimation of the causal effect of a stochastic threshold-based intervention.

Biometrics
Identifying a biomarker or treatment-dose threshold that marks a specified level of risk is an important problem, especially in clinical trials. In view of this goal, we consider a covariate-adjusted threshold-based interventional estimand, which hap...

Development of deep learning segmentation models for coronary X-ray angiography: Quality assessment by a new global segmentation score and comparison with human performance.

Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology
INTRODUCTION AND OBJECTIVES: Although automatic artificial intelligence (AI) coronary angiography (CAG) segmentation is arguably the first step toward future clinical application, it is underexplored. We aimed to (1) develop AI models for CAG segment...

Detection of ankle fractures using deep learning algorithms.

Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons
BACKGROUND: Early and accurate detection of ankle fractures are crucial for optimizing treatment and thus reducing future complications. Radiographs are the most abundant imaging techniques for assessing fractures. Deep learning (DL) methods, through...

Intestinal fibrosis classification in patients with Crohn's disease using CT enterography-based deep learning: comparisons with radiomics and radiologists.

European radiology
OBJECTIVES: Accurate evaluation of bowel fibrosis in patients with Crohn's disease (CD) remains challenging. Computed tomography enterography (CTE)-based radiomics enables the assessment of bowel fibrosis; however, it has some deficiencies. We aimed ...

Development of practical triage methods for critical trauma patients: machine-learning algorithm for evaluating hybrid operation theatre entry of trauma patients (THETA).

European journal of trauma and emergency surgery : official publication of the European Trauma Society
PURPOSE: Hybrid operating rooms benefit patients with severe trauma but have a prerequisite of significant resources. This paper proposes a practical triage method to determine patients that should enter the hybrid operating room considering a limite...

Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time.

European radiology
OBJECTIVES: To investigate the feasibility of automatically identifying normal scans in ultrafast breast MRI with artificial intelligence (AI) to increase efficiency and reduce workload.

Validation of Machine Learning-Based Automated Surgical Instrument Annotation Using Publicly Available Intraoperative Video.

Operative neurosurgery (Hagerstown, Md.)
BACKGROUND: Intraoperative tool movement data have been demonstrated to be clinically useful in quantifying surgical performance. However, collecting this information from intraoperative video requires laborious hand annotation. The ability to automa...