AIMC Topic: Humans

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No need to forget, just keep the balance: Hebbian neural networks for statistical learning.

Cognition
Language processing in humans has long been proposed to rely on sophisticated learning abilities including statistical learning. Endress and Johnson (E&J, 2021) recently presented a neural network model for statistical learning based on Hebbian learn...

Robot-assisted thymectomy in large anterior mediastinal tumors: A comparative study with video-assisted thymectomy and open surgery.

Thoracic cancer
BACKGROUND: The aim of this study was to evaluate the safety and effectiveness of robot-assisted thymectomy (RAT) in large anterior mediastinal tumors (AMTs) (size ≥6 cm) compared with video-assisted thymectomy (VAT) and open surgery.

Development and validation of a mathematical model to simulate human cardiovascular and respiratory responses to battlefield trauma.

International journal for numerical methods in biomedical engineering
Mathematical models of human cardiovascular and respiratory systems provide a viable alternative to generate synthetic data to train artificial intelligence (AI) clinical decision-support systems and assess closed-loop control technologies, for milit...

Brain-Computer Interface-Controlled Exoskeletons in Clinical Neurorehabilitation: Ready or Not?

Neurorehabilitation and neural repair
The development of brain-computer interface-controlled exoskeletons promises new treatment strategies for neurorehabilitation after stroke or spinal cord injury. By converting brain/neural activity into control signals of wearable actuators, brain/ne...

Measurements, Analysis, Classification, and Detection of Gunshot and Gunshot-like Sounds.

Sensors (Basel, Switzerland)
Gun violence has been on the rise in recent years. To help curb the downward spiral of this negative influence in communities, machine learning strategies on gunshot detection can be developed and deployed. After outlining the procedure by which a ty...

Machine Learning Models for Slope Stability Classification of Circular Mode Failure: An Updated Database and Automated Machine Learning (AutoML) Approach.

Sensors (Basel, Switzerland)
Slope failures lead to large casualties and catastrophic societal and economic consequences, thus potentially threatening access to sustainable development. Slope stability assessment, offering potential long-term benefits for sustainable development...

Applied artificial intelligence in healthcare: Listening to the winds of change in a post-COVID-19 world.

Experimental biology and medicine (Maywood, N.J.)
This editorial article aims to highlight advances in artificial intelligence (AI) technologies in five areas: Collaborative AI, Multimodal AI, Human-Centered AI, Equitable AI, and Ethical and Value-based AI in order to cope with future complex socioe...

Identification of two robust subclasses of sepsis with both prognostic and therapeutic values based on machine learning analysis.

Frontiers in immunology
BACKGROUND: Sepsis is a heterogeneous syndrome with high morbidity and mortality. Optimal and effective classifications are in urgent need and to be developed.

Early Education Application Software Based on Artificial Intelligence VR Technology.

Computational intelligence and neuroscience
In order to solve the problems of restricted classroom and lack of repeated training in good curriculum, the design and development of a school life adaptation curriculum based on VR is proposed. This study identified six life adaptation themes for d...