AIMC Topic: Attention

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Tell me your position: Distantly supervised biomedical entity relation extraction using entity position marker.

Neural networks : the official journal of the International Neural Network Society Sep 29, 2023
A significant amount of textual data has been produced in the biomedical area recently as a result of the advancement of biomedical technologies. Large-scale biomedical data can be automatically obtained with the help of distant supervision. However,...
Learning Natural Language Processing Attention Language
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Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography.

Neural networks : the official journal of the International Neural Network Society Jul 23, 2023
Cognitive flexibility encompasses the ability to efficiently shift focus and forms a critical component of goal-directed attention. The neural substrates of this process are incompletely understood in part due to difficulties in sampling the involved...
Connectome Neural Pathways Electroencephalography Attention Deep Learning Child Magnetic Resonance Imaging Brain Mapping Cognition Humans Brain
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Cultural differences in joint attention and engagement in mutual gaze with a robot face.

Scientific reports Jul 19, 2023
Joint attention is a pivotal mechanism underlying human ability to interact with one another. The fundamental nature of joint attention in the context of social cognition has led researchers to develop tasks that address this mechanism and operationa...
Robotics Attention Cues Humans Emotions Interpersonal Relations Fixation, Ocular
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Characteristic analysis of epileptic brain network based on attention mechanism.

Scientific reports Jul 3, 2023
Constructing an efficient and accurate epilepsy detection system is an urgent research task. In this paper, we developed an EEG-based multi-frequency multilayer brain network (MMBN) and an attentional mechanism based convolutional neural network (AM-...
Electroencephalography Brain Epilepsy Humans Child, Preschool Neural Networks, Computer Female Male Child Young Adult Adolescent Attention
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Infection diagnosis in hydrocephalus CT images: a domain enriched attention learning approach.

Journal of neural engineering Jun 16, 2023
. Hydrocephalus is the leading indication for pediatric neurosurgical care worldwide. Identification of postinfectious hydrocephalus (PIH) verses non-postinfectious hydrocephalus, as well as the pathogen involved in PIH is crucial for developing an a...
Hydrocephalus Attention Humans Deep Learning Neural Networks, Computer Child Tomography, X-Ray Computed
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Crop pest detection by three-scale convolutional neural network with attention.

PloS one Jun 2, 2023
Crop pests seriously affect the yield and quality of crop. To timely and accurately control crop pests is particularly crucial for crop security, quality of life and a stable agricultural economy. Crop pest detection in field is an essential step to ...
Pest Control Agriculture Neural Networks, Computer Attention Quality of Life
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Road Feature Detection for Advance Driver Assistance System Using Deep Learning.

Sensors (Basel, Switzerland) May 4, 2023
Hundreds of people are injured or killed in road accidents. These accidents are caused by several intrinsic and extrinsic factors, including the attentiveness of the driver towards the road and its associated features. These features include approach...
Attention Pedestrians Humans Automobile Driving Accidents, Traffic Deep Learning
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A convolutional attention mapping deep neural network for classification and localization of cardiomegaly on chest X-rays.

Scientific reports Apr 17, 2023
Building a reliable and precise model for disease classification and identifying abnormal sites can provide physicians assistance in their decision-making process. Deep learning based image analysis is a promising technique for enriching the decision...
Cardiomegaly Attention X-Rays Neural Networks, Computer Deep Learning Humans
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Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine.

EBioMedicine Mar 15, 2023
Large Language Models (LLMs) are a key component of generative artificial intelligence (AI) applications for creating new content including text, imagery, audio, code, and videos in response to textual instructions. Without human oversight, guidance ...
Attention Medicine Delivery of Health Care Humans Language Artificial Intelligence
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Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI.

NeuroImage. Clinical Mar 15, 2023
The application of convolutional neural networks (CNNs) to MRI data has emerged as a promising approach to achieving unprecedented levels of accuracy when predicting the course of neurological conditions, including multiple sclerosis, by means of ext...
Multiple Sclerosis Blindness Magnetic Resonance Imaging Humans Attention Brain Deep Learning
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