AIMC Topic: Humans

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Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis.

Computer methods and programs in biomedicine
OBJECTIVES: Recent studies have shown that deep learning based on pre-treatment positron emission tomography (PET) or computed tomography (CT) is promising for distant metastasis (DM) and overall survival (OS) prognosis in head and neck cancer (HNC)....

A vector-based semantic relatedness measure using multiple relations within SNOMED CT and UMLS.

Journal of biomedical informatics
OBJECTIVE: To propose a new vector-based relatedness metric that derives word vectors from the intrinsic structure of biomedical ontologies, without consulting external resources such as large-scale biomedical corpora.

Cobot Motion Planning Algorithm for Ensuring Human Safety Based on Behavioral Dynamics.

Sensors (Basel, Switzerland)
Recently, the safety of workers has gained increasing attention due to the applications of collaborative robots (cobot). However, there is no quantitative research on the impact of cobot behavior on humans' psychological reactions, and these results ...

Deep Learning Approach to Impact Classification in Sensorized Panels Using Self-Attention.

Sensors (Basel, Switzerland)
This paper proposes a new method of impact classification for a Structural Health Monitoring system through the use of Self-Attention, the central building block of the Transformer neural network. As a topical and highly promising neural network arch...

Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review.

Sensors (Basel, Switzerland)
Currently, information and communication technology (ICT) allows health institutions to reach disadvantaged groups in rural areas using sensing and artificial intelligence (AI) technologies. Applications of these technologies are even more essential ...

Validation Study on Automated Sleep Stage Scoring Using a Deep Learning Algorithm.

Medicina (Kaunas, Lithuania)
Polysomnography is manually scored by sleep experts. However, manual scoring is a time-consuming and labor-intensive task. The goal of this study was to verify the accuracy of automated sleep-stage scoring based on a deep learning algorithm compared...

Emerging Artificial Intelligence-Empowered mHealth: Scoping Review.

JMIR mHealth and uHealth
BACKGROUND: Artificial intelligence (AI) has revolutionized health care delivery in recent years. There is an increase in research for advanced AI techniques, such as deep learning, to build predictive models for the early detection of diseases. Such...

Research on the Evaluation of Reformation and Revolution System for Universities Based on Neural Network.

Computational intelligence and neuroscience
Accurately evaluating the working conditions of college revolution and reformation system personnel is currently a hot issue in the field of revolution and reformation system research. Based on the neural network architecture, this paper constructs a...

Multiclass Cancer Prediction Based on Copy Number Variation Using Deep Learning.

Computational intelligence and neuroscience
DNA copy number variation (CNV) is the type of DNA variation which is associated with various human diseases. CNV ranges in size from 1 kilobase to several megabases on a chromosome. Most of the computational research for cancer classification is tra...

Application of New Media in Student Management from the Perspective of Deep Learning and Evaluation and Analysis of Practical Effects.

Computational and mathematical methods in medicine
New media has become incorporated into people's lives as a result of its advent and great popularity. Students make substantial use of new media, and using it for student management necessitates social attention and assistance. It has to do with the ...