AIMC Topic: Humans

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Edge AI-Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning.

Computational intelligence and neuroscience
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate changes, low quality of construction material, large flow of traffic, and heavy vehicles, road surface anomalies are increasing rapidly. Detection and repairin...

Intelligent Simulation of Children's Psychological Path Selection Based on Chaotic Neural Network Algorithm.

Computational intelligence and neuroscience
In recent years, there are many problems in the study of intelligent simulation of children's psychological path selection, among which the main problem is to ignore the factors of children's psychological path selection. Based on this, this paper st...

Artificial Intelligence inspired methods for the allocation of common goods and services.

PloS one
The debate over the optimal way of allocating societal surplus (i.e. products and services) has been raging, in one form or another, practically forever; following the collapse of the Soviet Union in 1991, the market has taken the lead vs the public ...

Artificial Intelligence Confirming Treatment Success: The Role of Gender- and Age-Specific Scales in Performance Evaluation.

Plastic and reconstructive surgery
In plastic surgery and cosmetic dermatology, photographic data are an invaluable element of research and clinical practice. Additionally, the use of before and after images is a standard documentation method for procedures, and these images are parti...

A Cascaded Deep Learning-Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging.

Academic radiology
RATIONALE AND OBJECTIVES: Prostate MRI improves detection of clinically significant prostate cancer; however, its diagnostic performance has wide variation. Artificial intelligence (AI) has the potential to assist radiologists in the detection and cl...

Transhiatal robot-assisted minimally invasive esophagectomy: unclear benefits compared to traditional transhiatal esophagectomy.

Journal of robotic surgery
Esophagectomy is a high-risk operation, regardless of technique. Minimally invasive transthoracic esophagectomy could reduce length of stay and pulmonary complications compared to traditional open approaches, but the benefits of minimally invasive tr...

Design of a dexterous robotic surgical instrument with a novel bending mechanism.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The robot-assisted minimally invasive surgery (RMIS) has developed rapidly in recent years, requiring highly articulated instruments to enable surgeons to perform complicated and precise procedures.