AIMC Topic: Uncertainty

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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...
Fuzzy Logic Humans Uncertainty Decision Making Equipment and Supplies Decision Support Techniques
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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...
Specialty Boards Uncertainty Educational Measurement Germany Humans Clinical Competence
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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...
Groundwater Environmental Monitoring Models, Theoretical Fuzzy Logic Uncertainty
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UC-NeRF: Uncertainty-Aware Conditional Neural Radiance Fields From Endoscopic Sparse Views.

IEEE transactions on medical imaging Mar 17, 2025
Visualizing surgical scenes is crucial for revealing internal anatomical structures during minimally invasive procedures. Novel View Synthesis is a vital technique that offers geometry and appearance reconstruction, enhancing understanding, planning,...
Humans Neural Networks, Computer Imaging, Three-Dimensional Algorithms Image Processing, Computer-Assisted Endoscopy Uncertainty
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A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRI.

Medical image analysis Mar 14, 2025
Diffusion MRI (dMRI) is the primary imaging modality used to study brain microstructure in vivo. Reliable and computationally efficient parameter inference for common dMRI biophysical models is a challenging inverse problem, due to factors such as va...
Diffusion Magnetic Resonance Imaging Image Processing, Computer-Assisted Signal-To-Noise Ratio Connectome Uncertainty White Matter Computer Simulation Deep Learning Algorithms Brain Humans
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Control of medical digital twins with artificial neural networks.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Mar 13, 2025
The objective of precision medicine is to tailor interventions to an individual patient's unique characteristics. A key technology for this purpose involves medical digital twins, computational models of human biology that can be personalized and dyn...
Humans Neural Networks, Computer Computer Simulation Stochastic Processes Precision Medicine Uncertainty Models, Biological
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Introduction of a hybrid approach based on statistical shape model and Adaptive Neural Fuzzy Inference System (ANFIS) to assess dosimetry uncertainty: A Monte Carlo study.

Computers in biology and medicine Mar 10, 2025
The increasing use of ionizing radiation has raised concerns about adverse and long-term health risks for individuals. Therefore, to evaluate the range of risks and protection against ionizing radiation, it is necessary to assess the dosimetry calcul...
Uncertainty Phantoms, Imaging Radiometry Humans Lung Models, Statistical Monte Carlo Method Fuzzy Logic
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CatPred: a comprehensive framework for deep learning in vitro enzyme kinetic parameters.

Nature communications Feb 28, 2025
Estimation of enzymatic activities still heavily relies on experimental assays, which can be cost and time-intensive. We present CatPred, a deep learning framework for predicting in vitro enzyme kinetic parameters, including turnover numbers (k), Mic...
Uncertainty Enzymes Deep Learning Kinetics
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Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal.

Sensors (Basel, Switzerland) Feb 26, 2025
Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimation of RRs for cardiopulmonary function is essential for home health monitoring systems. However, machine learning (ML) algorithm errors embedded in hea...
Male Machine Learning Humans Photoplethysmography Algorithms Dyspnea Monitoring, Physiologic Respiratory Rate Female Signal Processing, Computer-Assisted Uncertainty Aged
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Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation.

Scientific reports Feb 22, 2025
Pathologists have depended on their visual experience to assess tissue structures in smear images, which was time-consuming, error-prone, and inconsistent. Deep learning, particularly Convolutional Neural Networks (CNNs), offers the ability to automa...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Algorithms Supervised Machine Learning Uncertainty
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