AIMC Topic: Uncertainty

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CTUSurv: A Cell-Aware Transformer-Based Network With Uncertainty for Survival Prediction Using Whole Slide Images.

IEEE transactions on medical imaging Apr 3, 2025
Image-based survival prediction through deep learning techniques represents a burgeoning frontier aimed at augmenting the diagnostic capabilities of pathologists. However, directly applying existing deep learning models to survival prediction may not...
Uncertainty Humans Algorithms Deep Learning Image Interpretation, Computer-Assisted
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Uncertainty quantification for CT dosimetry based on 10 281 subjects using automatic image segmentation and fast Monte Carlo calculations.

Medical physics Apr 1, 2025
BACKGROUND: Computed tomography (CT) scans are a major source of medical radiation exposure worldwide. In countries like China, the frequency of CT scans has grown rapidly, thus making available a large volume of organ dose information. With modern c...
Tomography, X-Ray Computed Female Aged Humans Deep Learning Image Processing, Computer-Assisted Automation Adult Male Middle Aged Radiometry Uncertainty Radiation Dosage Monte Carlo Method
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Enhancing brain age estimation under uncertainty: A spectral-normalized neural gaussian process approach utilizing 2.5D slicing.

NeuroImage Apr 1, 2025
Brain age gap, the difference between estimated brain age and chronological age via magnetic resonance imaging, has emerged as a pivotal biomarker in the detection of brain abnormalities. While deep learning is accurate in estimating brain age, the a...
Normal Distribution Uncertainty Image Processing, Computer-Assisted Magnetic Resonance Imaging Neuroimaging Young Adult Adolescent Adult Child Male Humans Aging Brain Middle Aged Female Deep Learning
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A Framework for Parameter Estimation and Uncertainty Quantification in Systems Biology Using Quantile Regression and Physics-Informed Neural Networks.

Bulletin of mathematical biology Mar 28, 2025
A framework for parameter estimation and uncertainty quantification is crucial for understanding the mechanisms of biological interactions within complex systems and exploring their dynamic behaviors beyond what can be experimentally observed. Despit...
Models, Biological Humans Monte Carlo Method Neural Networks, Computer Uncertainty Mathematical Concepts Regression Analysis Algorithms Bayes Theorem Computer Simulation Systems Biology
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Artefacts of Change: The Disruptive Nature of Humanoid Robots Beyond Classificatory Concerns.

Science and engineering ethics Mar 28, 2025
One characteristic of socially disruptive technologies is that they have the potential to cause uncertainty about the application conditions of a concept i.e., they are conceptually disruptive. Humanoid robots have done just this, as evidenced by dis...
Uncertainty Interpersonal Relations Robotics Humans Artifacts Technology Morals
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Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 25, 2025
PURPOSE: Information on deep learning (DL) tumor segmentation accuracy on a voxel and a structure level is essential for clinical introduction. In a previous study, a DL model was developed for oropharyngeal cancer (OPC) primary tumor (PT) segmentati...
Positron Emission Tomography Computed Tomography Uncertainty Oropharyngeal Neoplasms Lymph Nodes Male Humans Retrospective Studies Lymphatic Metastasis Middle Aged Female Aged Deep Learning
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A decision-making framework for evaluating medical equipment suppliers under uncertainty.

Scientific reports Mar 21, 2025
The procurement of medical equipment is a critical concern for healthcare organizations striving to deliver comprehensive patient care. Thus, the procurement process, including performance evaluation and selection of medical equipment suppliers, pose...
Decision Making Equipment and Supplies Uncertainty Humans Decision Support Techniques Fuzzy Logic
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Performance of Plug-In Augmented ChatGPT and Its Ability to Quantify Uncertainty: Simulation Study on the German Medical Board Examination.

JMIR medical education Mar 21, 2025
BACKGROUND: The GPT-4 is a large language model (LLM) trained and fine-tuned on an extensive dataset. After the public release of its predecessor in November 2022, the use of LLMs has seen a significant spike in interest, and a multitude of potential...
Uncertainty Humans Educational Measurement Clinical Competence Germany Specialty Boards
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Estimating uncertainty from feed-forward network based sensing using quasi-linear approximation.

Neural networks : the official journal of the International Neural Network Society Mar 20, 2025
A fundamental problem in neural network theory is the quantification of uncertainty as it propagates through these constructs. Such quantification is crucial as neural networks become integrated into broader engineered systems that render decisions b...
Linear Models Neural Networks, Computer Monte Carlo Method Algorithms Nonlinear Dynamics Uncertainty
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A hybrid vine copula-fuzzy model for groundwater level simulation under uncertainty.

Environmental monitoring and assessment Mar 17, 2025
Accurate simulation of groundwater level is crucial for the sustainable management of water resources. However, the numerous uncertainties in input data, simulation model parameters, and physical processes, as well as the dependency between system va...
Models, Theoretical Groundwater Environmental Monitoring Fuzzy Logic Uncertainty
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