AIMC Topic: Algorithms

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Instance importance-Aware graph convolutional network for 3D medical diagnosis.

Medical image analysis
Automatic diagnosis of 3D medical data is a significant goal of intelligent healthcare. By exploiting the abundant pathological information of 3D data, human experts and algorithms can provide accurate predictions for patients. Considering the high c...

Predicting residues involved in anti-DNA autoantibodies with limited neural networks.

Medical & biological engineering & computing
Computer-aided rational vaccine design (RVD) and synthetic pharmacology are rapidly developing fields that leverage existing datasets for developing compounds of interest. Computational proteomics utilizes algorithms and models to probe proteins for ...

Diagnostic Accuracy of Artificial Intelligence in Glaucoma Screening and Clinical Practice.

Journal of glaucoma
PURPOSE: Artificial intelligence (AI) has been shown as a diagnostic tool for glaucoma detection through imaging modalities. However, these tools are yet to be deployed into clinical practice. This meta-analysis determined overall AI performance for ...

How Validation Methodology Influences Human Activity Recognition Mobile Systems.

Sensors (Basel, Switzerland)
In this article, we introduce explainable methods to understand how Human Activity Recognition (HAR) mobile systems perform based on the chosen validation strategies. Our results introduce a new way to discover potential bias problems that overestima...

SDFormer: A Novel Transformer Neural Network for Structural Damage Identification by Segmenting the Strain Field Map.

Sensors (Basel, Switzerland)
Damage identification is a key problem in the field of structural health monitoring, which is of great significance to improve the reliability and safety of engineering structures. In the past, the structural strain damage identification method based...

Research on exercise fatigue estimation method of Pilates rehabilitation based on ECG and sEMG feature fusion.

BMC medical informatics and decision making
PURPOSE: Surface electromyography (sEMG) is vulnerable to environmental interference, low recognition rate and poor stability. Electrocardiogram (ECG) signals with rich information were introduced into sEMG to improve the recognition rate of fatigue ...

Understanding Artificial Intelligence and Predictive Analytics: A Clinically Focused Review of Machine Learning Techniques.

JBJS reviews
ยป: Machine learning and artificial intelligence have seen tremendous growth in recent years and have been applied in numerous studies in the field of orthopaedics.

Brain tumor classification of magnetic resonance images using a novel CNN-based medical image analysis and detection network in comparison with AlexNet.

Journal of population therapeutics and clinical pharmacology = Journal de la therapeutique des populations et de la pharmacologie clinique
AIM: This research work aims at developing an automatic medical image analysis and detection for accurate classification of brain tumors from a magnetic resonance imaging (MRI) dataset. We developed a new MIDNet18 CNN architecture in comparison with ...

Problems and Countermeasures of Financial Risk in Project Management Based on Convolutional Neural Network.

Computational intelligence and neuroscience
Under the background of market economy, engineering projects are faced with a lot of financial risks. If we cannot prevent them effectively, it will undoubtedly bring serious negative impact to the entire engineering management work. Therefore, it is...

Computational Intelligence Approaches in Developing Cyberattack Detection System.

Computational intelligence and neuroscience
The Internet plays a fundamental part in relentless correspondence, so its applicability can decrease the impact of intrusions. Intrusions are defined as movements that unfavorably influence the focus of a computer. Intrusions may sacrifice the reput...