AIMC Topic: Humans

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FlauBERT vs. CamemBERT: Understanding patient's answers by a French medical chatbot.

Artificial intelligence in medicine
In a number of circumstances, obtaining health-related information from a patient is time-consuming, whereas a chatbot interacting efficiently with that patient might help saving health care professional time and better assisting the patient. Making ...

An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data.

Medical image analysis
Functional magnetic resonance imaging (fMRI) as a promising tool to investigate psychotic disorders can be decomposed into useful imaging features such as time courses (TCs) of independent components (ICs) and functional network connectivity (FNC) ca...

An interactive framework for the detection of ictal and interictal activities: Cross-species and stand-alone implementation.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Despite advances on signal analysis and artificial intelligence, visual inspection is the gold standard in event detection on electroencephalographic recordings. This process requires much time of clinical experts on both an...

Uncertainty-aware skin cancer detection: The element of doubt.

Computers in biology and medicine
Artificial intelligence (AI)-based medical diagnosis has received huge attention due to its potential to improve and accelerate the decision-making process at the patient level in a range of healthcare settings. Despite the recent signs of progress i...

Human-robot-robot cooperative control using positioning robot and 1-DOF traction device for robot-assisted fracture reduction system.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
While performing musculoskeletal long bone fracture reduction surgery, assistant surgeons can often suffer from physical fatigue as they provide resistance against the tension from surrounding muscles pulling on the patient's broken bones. These days...

Rapid Bacterial Detection in Urine Using Laser Scattering and Deep Learning Analysis.

Microbiology spectrum
Images of laser scattering patterns generated by bacteria in urine are promising resources for deep learning. However, floating bacteria in urine produce dynamic scattering patterns and require deep learning of spatial and temporal features. We hypot...

Endovascular Robotic Interventions.

Neurosurgery clinics of North America
After robotic systems were approved for peripheral vascular interventions, many centers adopted this technology in treating carotid diseases. Robotic systems provide several advantages by eliminating radiation exposure and decreasing the rate of musc...

The role of artificial intelligence in pancreatic surgery: a systematic review.

Updates in surgery
Artificial intelligence (AI), including machine learning (ML), is being slowly incorporated in medical practice, to provide a more precise and personalized approach. Pancreatic surgery is an evolving field, which offers the only curative option for p...

Deep Learning for Smart Healthcare-A Survey on Brain Tumor Detection from Medical Imaging.

Sensors (Basel, Switzerland)
Advances in technology have been able to affect all aspects of human life. For example, the use of technology in medicine has made significant contributions to human society. In this article, we focus on technology assistance for one of the most comm...

Motion Similarity Evaluation between Human and a Tri-Co Robot during Real-Time Imitation with a Trajectory Dynamic Time Warping Model.

Sensors (Basel, Switzerland)
Precisely imitating human motions in real-time poses a challenge for the robots due to difference in their physical structures. This paper proposes a human-computer interaction method for remotely manipulating life-size humanoid robots with a new met...