AIMC Topic: Bayes Theorem

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Artificial intelligence based system for predicting permanent stoma after sphincter saving operations.

Scientific reports Sep 25, 2023
Although the goal of rectal cancer treatment is to restore gastrointestinal continuity, some patients with rectal cancer develop a permanent stoma (PS) after sphincter-saving operations. Although many studies have identified the risk factors and caus...
Retrospective Studies Bayes Theorem Machine Learning Algorithms Humans Artificial Intelligence
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Hyper-parameter tuned deep learning approach for effective human monkeypox disease detection.

Scientific reports Sep 23, 2023
Human monkeypox is a very unusual virus that can devastate society. Early identification and diagnosis are essential to treat and manage an illness effectively. Human monkeypox disease detection using deep learning models has attracted increasing att...
Bayes Theorem Epidemics Mpox, Monkeypox Chickenpox Humans Deep Learning
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Integrated transcriptomic meta-analysis and comparative artificial intelligence models in maize under biotic stress.

Scientific reports Sep 23, 2023
Biotic stress imposed by pathogens, including fungal, bacterial, and viral, can cause heavy damage leading to yield reduction in maize. Therefore, the identification of resistant genes paves the way to the development of disease-resistant cultivars a...
Transcriptome Bayes Theorem Zea mays Artificial Intelligence Algorithms
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Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design.

Medical & biological engineering & computing Sep 22, 2023
Deep convolutional neural networks (DCNNs) have demonstrated promising performance in classifying breast lesions in 2D ultrasound (US) images. Exiting approaches typically use pre-trained models based on architectures designed for natural images with...
Neural Networks, Computer Bayes Theorem Machine Learning Retrospective Studies
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Comparison between linear regression and four different machine learning methods in selecting risk factors for osteoporosis in a Chinese female aged cohort.

Journal of the Chinese Medical Association : JCMA Sep 19, 2023
BACKGROUND: Population aging is emerging as an increasingly acute challenge for countries around the world. One particular manifestation of this phenomenon is the impact of osteoporosis on individuals and national health systems. Previous studies of ...
Linear Models Taiwan Bayes Theorem Risk Assessment East Asian People Machine Learning Osteoporosis Risk Factors Middle Aged Female Humans
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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....
Algorithms Animals Deep Learning Humans Benchmarking Cubozoa Emergency Service, Hospital Bayes Theorem
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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 Deep Learning Child Lung Diseases Humans Neural Networks, Computer Artificial Intelligence
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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...
Humans Signal Processing, Computer-Assisted Algorithms Electroencephalography Schizophrenia Deep Learning Support Vector Machine Bayes Theorem
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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...
Algorithms Bayes Theorem Humans Electroencephalography 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...
Uncertainty Artificial Intelligence Delivery of Health Care Reproducibility of Results Bayes Theorem
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