AIMC Topic: Bayes Theorem

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Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 13, 2025
Image segmentation is a critical step in computational biomedical image analysis, typically evaluated using metrics like the Dice coefficient during training and validation. However, in clinical settings without manual annotations, assessing segmenta...
Humans Skin Neoplasms Reproducibility of Results Bayes Theorem Image Interpretation, Computer-Assisted Deep Learning Uncertainty Liver Neoplasms Image Processing, Computer-Assisted
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Analysis of the Relationship Between and Cytokine Gene Expression in Hematological Malignancy: Leveraging Explained Artificial Intelligence and Machine Learning for Small Dataset Insights.

International journal of medical sciences Apr 13, 2025
This study measures expression of () and related cytokine genes in bone marrow mononuclear cells in patients with hematological malignancies, analyzing the relationship between them with an integrated framework of statistical analyses, machine learn...
Bayes Theorem Caspase 1 NF-kappa B p50 Subunit Artificial Intelligence Male Humans Machine Learning Middle Aged Female Cytokines Gene Expression Regulation, Neoplastic Biomarkers, Tumor Hematologic Neoplasms
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Detecting implicit biases of large language models with Bayesian hypothesis testing.

Scientific reports Apr 11, 2025
Despite the remarkable performance of large language models (LLMs), such as generative pre-trained Transformers (GPTs), across various tasks, they often perpetuate social biases and stereotypes embedded in their training data. In this paper, we intro...
Bayes Theorem Humans Large Language Models Language Bias
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Preference-based assistance optimization for lifting and lowering with a soft back exosuit.

Science advances Apr 9, 2025
Wearable robotic devices have become increasingly prevalent in both occupational and rehabilitative settings, yet their widespread adoption remains inhibited by usability barriers related to comfort, restriction, and noticeable functional benefits. A...
Bayes Theorem Exoskeleton Device Lifting Female Young Adult Adult Male Wearable Electronic Devices Robotics Humans
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Predicting rheumatoid arthritis in the middle-aged and older population using patient-reported outcomes: insights from the SHARE cohort.

International journal of medical informatics Apr 8, 2025
BACKGROUND: In light of global population aging and the increasing prevalence of Rheumatoid Arthritis (RA) with age, strategies are needed to address this public health challenge. Machine learning (ML) may play a vital role in early identification of...
Bayes Theorem Patient Reported Outcome Measures Middle Aged Cohort Studies Arthritis, Rheumatoid Humans Machine Learning Female Risk Factors Aged Male
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Spatiotemporal evolution and risk thresholds of PM components in China from the human health perspective.

Environmental pollution (Barking, Essex : 1987) Apr 2, 2025
PM is a significant global public health hazard, with its components closely linked to various fatal diseases, thereby significantly increasing mortality rates. This study analysed the spatiotemporal evolution of PM-related mortality and death rates ...
China Environmental Exposure Nitrates Environmental Monitoring Mortality Air Pollutants Bayes Theorem Humans Air Pollution Risk Assessment Particulate Matter Spatio-Temporal Analysis
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InVAErt networks for amortized inference and identifiability analysis of lumped-parameter haemodynamic models.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Apr 2, 2025
Estimation of cardiovascular model parameters from electronic health records (EHRs) poses a significant challenge primarily due to lack of identifiability. Structural non-identifiability arises when a manifold in the space of parameters is mapped to ...
Humans Neural Networks, Computer Electronic Health Records Hemodynamics Bayes Theorem Models, Cardiovascular
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Scalable Multi-FPGA HPC Architecture for Associative Memory System.

IEEE transactions on biomedical circuits and systems Apr 2, 2025
Associative memory is a cornerstone of cognitive intelligence within the human brain. The Bayesian confidence propagation neural network (BCPNN), a cortex-inspired model with high biological plausibility, has proven effective in emulating high-level ...
Humans Neural Networks, Computer Algorithms Models, Neurological Bayes Theorem Memory
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A machine learning computational approach for the mathematical anthrax disease system in animals.

PloS one Apr 1, 2025
OBJECTIVES: The current research investigations present the numerical solutions of the anthrax disease system in animals by designing a machine learning stochastic procedure. The mathematical anthrax disease system in animals is classified into susce...
Anthrax Bayes Theorem Machine Learning Stochastic Processes Algorithms Bacillus anthracis Animals
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Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms.

Scientific reports Mar 29, 2025
Microorganisms are one of the most promising biomarkers for cancer, and the relationship between microorganisms and lung cancer occurrence and development provides significant potential for pulmonary nodule (PN) diagnosis from a microbiological persp...
Aged Adult Biomarkers, Tumor Male Middle Aged Case-Control Studies Bayes Theorem Algorithms Lung Neoplasms Biomarkers Saliva RNA, Ribosomal, 16S Female Microbiota Humans Solitary Pulmonary Nodule Machine Learning
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