AIMC Topic: Humans

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Automation of dry eye disease quantitative assessment: A review.

Clinical & experimental ophthalmology
Dry eye disease (DED) is a common eye condition worldwide and a primary reason for visits to the ophthalmologist. DED diagnosis is performed through a combination of tests, some of which are unfortunately invasive, non-reproducible and lack accuracy....

Improving Robotic Skills by Video Review.

Journal of endourology
Since the transition of surgical robot systems into the medical field, physicians have had to develop new dexterity skills. The ideal learning environment for robotic surgery has yet to be discovered. Virtual reality (VR) simulation is a possible sa...

Learning in deep neural networks and brains with similarity-weighted interleaved learning.

Proceedings of the National Academy of Sciences of the United States of America
Understanding how the brain learns throughout a lifetime remains a long-standing challenge. In artificial neural networks (ANNs), incorporating novel information too rapidly results in catastrophic interference, i.e., abrupt loss of previously acquir...

Artificial intelligence in clinical practice - an industry without raw materials.

Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke

Pathological-Gait Recognition Using Spatiotemporal Graph Convolutional Networks and Attention Model.

Sensors (Basel, Switzerland)
Walking is an exercise that uses muscles and joints of the human body and is essential for understanding body condition. Analyzing body movements through gait has been studied and applied in human identification, sports science, and medicine. This st...

Fusion Poser: 3D Human Pose Estimation Using Sparse IMUs and Head Trackers in Real Time.

Sensors (Basel, Switzerland)
The motion capture method using sparse inertial sensors is an approach for solving the occlusion and economic problems in vision-based methods, which is suitable for virtual reality applications and works in complex environments. However, VR applicat...

Influence of Artificial Intelligence in Education on Adolescents' Social Adaptability: A Machine Learning Study.

International journal of environmental research and public health
This study aimed to investigate the influence of artificial intelligence in education (AIEd) on adolescents' social adaptability, as well as to identify the relevant psychosocial factors that can predict adolescents' social adaptability. A total of 1...

Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
BACKGROUND: Myocardial scar burden quantified using late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR), has important prognostic value in hypertrophic cardiomyopathy (HCM). However, nearly 50% of HCM patients have no scar but u...

A hybrid method based on semi-supervised learning for relation extraction in Chinese EMRs.

BMC medical informatics and decision making
BACKGROUND: Building a large-scale medical knowledge graphs needs to automatically extract the relations between entities from electronic medical records (EMRs) . The main challenges are the scarcity of available labeled corpus and the identification...

SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction.

BMC genomics
BACKGROUND: Protein-protein interactions (PPIs) dominate intracellular molecules to perform a series of tasks such as transcriptional regulation, information transduction, and drug signalling. The traditional wet experiment method to obtain PPIs info...