AIMC Topic: Algorithms

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BiTCAN: A emotion recognition network based on saliency in brain cognition.

Mathematical biosciences and engineering : MBE
In recent years, with the continuous development of artificial intelligence and brain-computer interfaces, emotion recognition based on electroencephalogram (EEG) signals has become a prosperous research direction. Due to saliency in brain cognition,...

New Horizons in artificial intelligence in the healthcare of older people.

Age and ageing
Artificial intelligence (AI) in healthcare describes algorithm-based computational techniques which manage and analyse large datasets to make inferences and predictions. There are many potential applications of AI in the care of older people, from cl...

Quantitative level determination of fixed restorations on panoramic radiographs using deep learning.

International journal of computerized dentistry
AIM: Although many studies in various fields employ deep learning models, only a few such studies exist in dental imaging. The present article aims to evaluate the effectiveness of convolutional neural network (CNN) algorithms for the detection and d...

An artificial intelligence model for instance segmentation and tooth numbering on orthopantomograms.

International journal of computerized dentistry
AIM: To develop a deep learning (DL) artificial intelligence (AI) model for instance segmentation and tooth numbering on orthopantomograms (OPGs).

Colon Disease Classification Method Based on Deep Learning.

Studies in health technology and informatics
Objective Colorectal cancer (CRC) is a common malignant tumor of the digestive system with a high incidence rate. It is prone to misdiagnosis or missed diagnosis in clinical practice. Therefore, researching computer-aided diagnostic methods for endos...

Research on Brain Signals Classification Based on Deep Learning.

Studies in health technology and informatics
With the continuous expansion of brain-computer communication, the precise identification of brain signals has become an essential task for brain-computer equipment. However, existing classification methods are primarily concentrated on the extractio...

Perspective of Signal Processing-Based on Brain-Computer Interfaces Using Machine Learning Methods.

Studies in health technology and informatics
The application of artificial intelligence (AI) algorithms is an indispensable portion of developing brain-computer interfaces (BCI). With the continuous development of AI concepts and related technologies. AI algorithms such as neural networks play ...

Research on Pectoral Muscle Segmentation Algorithm of CT Image Based on Deep Learning.

Studies in health technology and informatics
Chronic obstructive pulmonary disease (COPD) is a common respiratory disease, which seriously endangers human health and is also one of the important causes of death. The death rate of COPD in China is the highest in the world, and the problem of und...

Joint deep autoencoder and subgraph augmentation for inferring microbial responses to drugs.

Briefings in bioinformatics
Exploring microbial stress responses to drugs is crucial for the advancement of new therapeutic methods. While current artificial intelligence methodologies have expedited our understanding of potential microbial responses to drugs, the models are co...

FormulationAI: a novel web-based platform for drug formulation design driven by artificial intelligence.

Briefings in bioinformatics
Today, pharmaceutical industry faces great pressure to employ more efficient and systematic ways in drug discovery and development process. However, conventional formulation studies still strongly rely on personal experiences by trial-and-error exper...