AIMC Topic: Uncertainty

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Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare.

International journal of medical informatics Feb 21, 2025
BACKGROUND: The increasing use of Deep Learning (DL) in healthcare has highlighted the critical need for improved transparency and interpretability. While Explainable Artificial Intelligence (XAI) methods provide insights into model predictions, reli...
Deep Learning Artificial Intelligence Uncertainty Delivery of Health Care Reproducibility of Results Humans
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A machine learning approach to feature selection and uncertainty analysis for biogas production in wastewater treatment plants.

Waste management (New York, N.Y.) Feb 21, 2025
The growing demand for efficient waste management solutions and renewable energy sources has driven research into predicting biogas production at wastewater treatment plants. This study outlines a methodology starting with data collection from a full...
Biofuels Uncertainty Machine Learning Wastewater Waste Disposal, Fluid
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C-UQ: Conflict-based uncertainty quantification-A case study in lung cancer classification.

Computers in biology and medicine Feb 19, 2025
Uncertainty quantification is crucial in deep learning, especially in medical diagnostics, to measure model prediction confidence and ensure reliable clinical decisions. This study introduces a novel conflict-based uncertainty quantification approach...
Neural Networks, Computer Databases, Factual Humans Uncertainty Deep Learning Lung Neoplasms
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T-ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein-Ligand Binding Affinity Prediction with Uncertainty-Aware Self-Learning for Protein-Specific Alignment.

Journal of chemical information and modeling Feb 18, 2025
There is significant interest in targeting disease-causing proteins with small molecule inhibitors to restore healthy cellular states. The ability to accurately predict the binding affinity of small molecules to a protein target in silico enables the...
Uncertainty Ligands ErbB Receptors SARS-CoV-2 Drug Discovery Protein Binding Proteins Deep Learning Humans Neural Networks, Computer
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Reducing inference cost of Alzheimer's disease identification using an uncertainty-aware ensemble of uni-modal and multi-modal learners.

Scientific reports Feb 14, 2025
While multi-modal deep learning approaches trained using magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography (FDG PET) data have shown promise in the accurate identification of Alzheimer's disease, their clinical appl...
Brain Deep Learning Magnetic Resonance Imaging Humans Fluorodeoxyglucose F18 Uncertainty Alzheimer Disease Positron-Emission Tomography
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The Effects of Presenting AI Uncertainty Information on Pharmacists' Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study.

JMIR human factors Feb 11, 2025
BACKGROUND: Dispensing errors significantly contribute to adverse drug events, resulting in substantial health care costs and patient harm. Automated pill verification technologies have been developed to aid pharmacists with medication dispensing. Ho...
Humans Middle Aged United States Uncertainty Pharmacists Medication Errors Artificial Intelligence Male Adult Female Trust
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An accurate and trustworthy deep learning approach for bladder tumor segmentation with uncertainty estimation.

Computer methods and programs in biomedicine Feb 10, 2025
BACKGROUND AND OBJECTIVE: Although deep learning-based intelligent diagnosis of bladder cancer has achieved excellent performance, the reliability of neural network predicted results may not be evaluated. This study aims to explore a trustworthy AI-b...
Uncertainty Algorithms Reproducibility of Results Urinary Bladder Neoplasms Cystoscopy Deep Learning Humans Neural Networks, Computer
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Effect of Artificial Intelligence Helpfulness and Uncertainty on Cognitive Interactions with Pharmacists: Randomized Controlled Trial.

Journal of medical Internet research Jan 31, 2025
BACKGROUND: Clinical decision support systems leveraging artificial intelligence (AI) are increasingly integrated into health care practices, including pharmacy medication verification. Communicating uncertainty in an AI prediction is viewed as an im...
Decision Support Systems, Clinical Cognition Humans Uncertainty Female Artificial Intelligence Pharmacists Male Adult Middle Aged
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CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2025
Effective uncertainty estimation is becoming increasingly attractive for enhancing the reliability of neural networks. This work presents a novel approach, termed Credal-Set Interval Neural Networks (CreINNs), for classification. CreINNs retain the f...
Uncertainty Algorithms Bayes Theorem Probability Humans Neural Networks, Computer
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Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment.

Medical & biological engineering & computing Jan 23, 2025
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection of metastatic tumors and response to therapy assessment due to its high sensitivity compared to anatomical imaging modalities. The balance between ima...
Deep Learning Image Processing, Computer-Assisted Bayes Theorem Humans Monte Carlo Method Positron-Emission Tomography Radiation Dosage Uncertainty Algorithms Signal-To-Noise Ratio Whole Body Imaging
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