AIMC Topic: Bayes Theorem

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Improved patient mortality predictions in emergency departments with deep learning data-synthesis and ensemble models.

Scientific reports Sep 12, 2023
The triage process in emergency departments (EDs) relies on the subjective assessment of medical practitioners, making it unreliable in certain aspects. There is a need for a more accurate and objective algorithm to determine the urgency of patients....
Emergency Service, Hospital Bayes Theorem Animals Deep Learning Benchmarking Cubozoa Humans Algorithms
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Testing the performance, adequacy, and applicability of an artificial intelligence model for pediatric pneumonia diagnosis.

Computer methods and programs in biomedicine Sep 9, 2023
BACKGROUND: Community-acquired Pneumonia (CAP) is a common childhood infectious disease. Deep learning models show promise in X-ray interpretation and diagnosis, but their validation should be extended due to limitations in the current validation wor...
Pneumonia Bayes Theorem Lung Diseases Deep Learning Child Neural Networks, Computer Artificial Intelligence Humans
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Automatic identification of schizophrenia employing EEG records analyzed with deep learning algorithms.

Schizophrenia research Sep 8, 2023
Electroencephalography is a method of detecting and analyzing electrical activity in the brain. This electrical activity can be recorded and processed to aid in the clinical diagnosis of mental disorders. In this study, a novel system for classifying...
Schizophrenia Deep Learning Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Bayes Theorem Humans Algorithms
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A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm.

PloS one Sep 8, 2023
Robotics and artificial intelligence have played a significant role in developing assistive technologies for people with motor disabilities. Brain-Computer Interface (BCI) is a communication system that allows humans to communicate with their environ...
Bayes Theorem Electroencephalography Algorithms Humans Logistic Models Artificial Intelligence
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Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023).

Computers in biology and medicine Sep 1, 2023
Uncertainty estimation in healthcare involves quantifying and understanding the inherent uncertainty or variability associated with medical predictions, diagnoses, and treatment outcomes. In this era of Artificial Intelligence (AI) models, uncertaint...
Artificial Intelligence Delivery of Health Care Reproducibility of Results Bayes Theorem Uncertainty
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Identification of growth years for Puerariae Thomsonii Radix based on hyperspectral imaging technology and deep learning algorithm.

Scientific reports Aug 31, 2023
Puerariae Thomsonii Radix (PTR) is not only widely used in disease prevention and treatment but is also an important raw material as a source of starch and other food. The growth years of PTR are closely related to its quality. The rapid and nondestr...
Deep Learning Bayes Theorem Algorithms Hyperspectral Imaging Quality Control Pueraria
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SSVEP-Based Brain-Computer Interface Controlled Robotic Platform With Velocity Modulation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 31, 2023
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have been extensively studied due to many benefits, such as non-invasiveness, high information transfer rate, and ease of use. SSVEP-based BCI has been investigated i...
Robotics Evoked Potentials, Visual Humans Bayes Theorem Robotic Surgical Procedures Brain-Computer Interfaces
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Electroencephalogram (EEG) based prediction of attention deficit hyperactivity disorder (ADHD) using machine learning.

Applied neuropsychology. Adult Aug 30, 2023
"Attention-Deficit Hyperactivity Disorder (ADHD)" is a neuro-developmental disorder in children under 12 years old. Learning deficits, anxiety, depression, sensory processing disorder, and oppositional defiant disorder are the most frequent comorbidi...
Machine Learning Female Male Humans Bayes Theorem Child Electroencephalography Principal Component Analysis Attention Deficit Disorder with Hyperactivity
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Cycle-level traffic conflict prediction at signalized intersections with LiDAR data and Bayesian deep learning.

Accident; analysis and prevention Aug 29, 2023
Real-time safety prediction models are vital in proactive road safety management strategies. This study develops models to predict traffic conflicts at signalized intersections at the signal cycle level, using advanced Bayesian deep learning techniqu...
Deep Learning China Accidents, Traffic Humans Bayes Theorem Reproducibility of Results
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Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on a Norwegian imaging database.

PloS one Aug 24, 2023
An important step in the analysis of magnetic resonance imaging (MRI) data for neuroimaging is the automated segmentation of white matter hyperintensities (WMHs). Fluid Attenuated Inversion Recovery (FLAIR-weighted) is an MRI contrast that is particu...
Humans White Matter Leukoaraiosis Male Middle Aged Alzheimer Disease Deep Learning Neuroimaging Female Magnetic Resonance Imaging Aged Bayes Theorem
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