AIMC Topic: Uncertainty

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Uncertainty quantification-guided patient-specific quality assurance using Bayesian neural networks based on field complexity features and fluence maps.

Physics in medicine and biology Aug 8, 2025
Recent advancements in artificial intelligence (AI)-driven prediction models for measurement-based patient-specific quality assurance (PSQA) necessitate uncertainty quantification (UQ) to ensure clinical safety.An uncertainty-guided framework was pro...
Quality Control Neural Networks, Computer Quality Assurance, Health Care Bayes Theorem Humans Uncertainty
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Confidence-linked and uncertainty-based staged framework for phenotype validation using large language models.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2025
OBJECTIVES: This study develops and validates the confidence-linked and uncertainty-based staged (CLUES) framework by integrating large language models (LLMs) with uncertainty quantification to assist manual chart review while ensuring reliability th...
Republic of Korea Reproducibility of Results Phenotype Electronic Health Records Stroke Large Language Models Uncertainty Hospitalization Natural Language Processing Humans
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Assessing Uncertainty in Machine Learning for Polymer Property Prediction: A Benchmark Study.

Journal of chemical information and modeling Jul 14, 2025
Machine learning (ML) has emerged as a transformative tool in material science, enabling accelerated discovery and design of novel molecules while reducing experimental costs. Uncertainty quantification (UQ) is crucial for enhancing the reliability o...
Machine Learning Benchmarking Monte Carlo Method Bayes Theorem Polymers Uncertainty
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Distance-Aware Molecular Property Prediction in Nonlinear Structure-Property Space.

Journal of chemical information and modeling Jul 14, 2025
Molecular property prediction with limited data in novel chemical domains remains challenging. We introduce an approach based on the hypothesis that prediction difficulty increases systematically with distance from well-characterized regions in an ap...
Uncertainty Drug Discovery Nonlinear Dynamics Machine Learning
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A comparative analysis of metamodels for 0D cardiovascular models, and pipeline for sensitivity analysis, parameter estimation, and uncertainty quantification.

Computers in biology and medicine Jul 1, 2025
Zero-dimensional (0D) cardiovascular models are reduced-order models aimed at studying the global dynamics of the whole circulation system or transport within it. They are employed to obtain estimates of important biomarkers for surgery planning and ...
Neural Networks, Computer Models, Cardiovascular Uncertainty Humans
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Trustworthy AI for stage IV non-small cell lung cancer: Automatic segmentation and uncertainty quantification.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 1, 2025
Accurate segmentation of lung tumors is essential for advancing personalized medicine in non-small cell lung cancer (NSCLC). However, stage IV NSCLC presents significant challenges due to heterogeneous tumor morphology and the presence of associated ...
Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Humans Lung Neoplasms Tomography, X-Ray Computed Carcinoma, Non-Small-Cell Lung Deep Learning Uncertainty
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Automated vertebrae identification and segmentation with structural uncertainty analysis in longitudinal CT scans of patients with multiple myeloma.

European journal of radiology Jul 1, 2025
OBJECTIVES: Optimize deep learning-based vertebrae segmentation in longitudinal CT scans of multiple myeloma patients using structural uncertainty analysis.
Female Aged Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Spine Deep Learning Adult Multiple Myeloma Retrospective Studies Longitudinal Studies Humans Male Uncertainty Tomography, X-Ray Computed Middle Aged
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Uncertainty-Aware Graph Contrastive Fusion Network for multimodal physiological signal emotion recognition.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Graph Neural Networks (GNNs) have been widely adopted to mine topological patterns contained in physiological signals for emotion recognition. However, since physiological signals are non-stationary and susceptible to various noises, there exists int...
Uncertainty Algorithms Humans Emotions Neural Networks, Computer
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Improved Machine Learning Predictions of EC50s Using Uncertainty Estimation from Dose-Response Data.

Journal of chemical information and modeling Jun 9, 2025
In early-stage drug design, machine learning models often rely on compressed representations of data, where raw experimental results are distilled into a single metric per molecule through curve fitting. This process discards valuable information abo...
Uncertainty Machine Learning Dose-Response Relationship, Drug
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Robust Uncertainty-Informed Glaucoma Classification Under Data Shift.

Translational vision science & technology Jun 2, 2025
PURPOSE: Standard deep learning (DL) models often suffer significant performance degradation on out-of-distribution (OOD) data, where test data differs from training data, a common challenge in medical imaging due to real-world variations.
Uncertainty Glaucoma Humans Deep Learning
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