AIMC Topic: Humans

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An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: The need for developing new biomarkers is increasing with the emergence of many targeted therapies. Artificial Intelligence (AI) algorithms have shown great promise in the medical imaging field to build predictive models. We developed a p...

A Bayesian deep learning method for freeway incident detection with uncertainty quantification.

Accident; analysis and prevention
Incident detection is fundamental for freeway management to reduce non-recurrent congestions and secondary incidents. Recently, machine learning technologies have made considerable progress in the incident detection field, but many still face challen...

Socially-Assistive Robots to Support Learning in Students on the Autism Spectrum: Investigating Educator Perspectives and a Pilot Trial of a Mobile Platform to Remove Barriers to Implementation.

Sensors (Basel, Switzerland)
Technology offers educators tools that can tailor learning to students' learning styles and interests. Research into the use of socially-assistive robots as a learning support for children on the autism spectrum are showing promising results. However...

Fall-from-Height Detection Using Deep Learning Based on IMU Sensor Data for Accident Prevention at Construction Sites.

Sensors (Basel, Switzerland)
Workers at construction sites are prone to fall-from-height (FFH) accidents. The severity of injury can be represented by the acceleration peak value. In the study, a risk prediction against FFH was made using IMU sensor data for accident prevention ...

Facial Emotion Recognition in Verbal Communication Based on Deep Learning.

Sensors (Basel, Switzerland)
Facial emotion recognition from facial images is considered a challenging task due to the unpredictable nature of human facial expressions. The current literature on emotion classification has achieved high performance over deep learning (DL)-based m...

Human-likeness and attribution of intentionality predict vicarious sense of agency over humanoid robot actions.

Scientific reports
Sense of Agency (SoA) is the feeling of being in control of one's actions and their outcomes. In a social context, people can experience a "vicarious" SoA over another human's actions; however, it is still controversial whether the same occurs in Hum...

Deep morphological recognition of kidney stones using intra-operative endoscopic digital videos.

Physics in medicine and biology
To assess the performance and added value of processing complete digital endoscopic video sequences for the automatic recognition of stone morphological features during a standard-of-care intra-operative session.A computer-aided video classifier was ...

Artificial Intelligence Algorithm-Based MRI in the Diagnosis of Complications after Renal Transplantation.

Contrast media & molecular imaging
This study was to explore the diagnostic value of magnetic resonance imaging (MRI) optimized by residual segmentation attention dual channel network (DRSA-U-Net) in the diagnosis of complications after renal transplantation and to provide a more effe...

Application Research on Face Image Evaluation Algorithm of Deep Learning Mobile Terminal for Student Check-In Management.

Computational intelligence and neuroscience
With the increase in the number of data, the traditional shallow image features cannot meet the needs of image representation. As an important means of image research, deep learning network has been paid attention to. In the field of face image evalu...

Evaluation of Tourism Food Safety and Quality with Neural Networks.

Computational intelligence and neuroscience
Food safety issues are inextricably linked to people's lives and, in extreme cases, endanger public safety and social stability. People are becoming increasingly concerned about food safety issues in a modern society with high-quality economic develo...