AIMC Topic: Computer Simulation
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Managing low-acuity patients in an Emergency Department through simulation-based multiobjective optimization using a neural network metamodel.
Health care management science
Jun 10, 2024
This paper deals with Emergency Department (ED) fast-tracks for low-acuity patients, a strategy often adopted to reduce ED overcrowding. We focus on optimizing resource allocation in minor injuries units, which are the ED units that can treat low-acu...
Emulator-Based Bayesian Calibration of the CISNET Colorectal Cancer Models.
Medical decision making : an international journal of the Society for Medical Decision Making
Jun 10, 2024
PURPOSE: To calibrate Cancer Intervention and Surveillance Modeling Network (CISNET)'s SimCRC, MISCAN-Colon, and CRC-SPIN simulation models of the natural history colorectal cancer (CRC) with an emulator-based Bayesian algorithm and internally valida...
ssVERDICT: Self-supervised VERDICT-MRI for enhanced prostate tumor characterization.
Magnetic resonance in medicine
Jun 9, 2024
PURPOSE: Demonstrating and assessing self-supervised machine-learning fitting of the VERDICT (vascular, extracellular and restricted diffusion for cytometry in tumors) model for prostate cancer.
Deep Learning
Image Interpretation, Computer-Assisted
Image Processing, Computer-Assisted
Computer Simulation
Diffusion Magnetic Resonance Imaging
Prostate
Magnetic Resonance Imaging
Least-Squares Analysis
Male
Supervised Machine Learning
Humans
Prostatic Neoplasms
Middle Aged
Neural Networks, Computer
Algorithms
Enhanced parameter estimation in multiparametric arterial spin labeling using artificial neural networks.
Magnetic resonance in medicine
Jun 9, 2024
PURPOSE: Multiparametric arterial spin labeling (MP-ASL) can quantify cerebral blood flow (CBF) and arterial cerebral blood volume (CBV). However, its accuracy is compromised owing to its intrinsically low SNR, necessitating complex and time-consumin...
FetoML: Interpretable predictions of the fetotoxicity of drugs based on machine learning approaches.
Molecular informatics
Jun 8, 2024
Pregnant females may use medications to manage health problems that develop during pregnancy or that they had prior to pregnancy. However, using medications during pregnancy has a potential risk to the fetus. Assessing the fetotoxicity of drugs is es...
DDT-Net: Dose-Agnostic Dual-Task Transfer Network for Simultaneous Low-Dose CT Denoising and Simulation.
IEEE journal of biomedical and health informatics
Jun 6, 2024
Deep learning (DL) algorithms have achieved unprecedented success in low-dose CT (LDCT) imaging and are expected to be a new generation of CT reconstruction technology. However, most DL-based denoising models often lack the ability to generalize to u...
Physics-informed neural networks for parameter estimation in blood flow models.
Computers in biology and medicine
Jun 5, 2024
BACKGROUND: Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving inverse problems, especially in cases where no complete information about the system is known and scatter measurements are available. This is especially ...
Real-time position and pose prediction for a self-propelled undulatory swimmer in 3D space with artificial lateral line system.
Bioinspiration & biomimetics
Jun 5, 2024
This study aims to investigate the feasibility of using an artificial lateral line (ALL) system for predicting the real-time position and pose of an undulating swimmer with Carangiform swimming patterns. We established a 3D computational fluid dynami...
Adaptive neural fault-tolerant prescribed performance control of a rehabilitation exoskeleton for lower limb passive training.
ISA transactions
Jun 4, 2024
This article studies the passive tracking problem of a wearable exoskeleton for lower limb rehabilitation therapy in the face of unmodeled dynamics, interactive friction, disturbance, prescribed performance constraints, and actuator faults. Adaptive ...
A novel framework based on explainable AI and genetic algorithms for designing neurological medicines.
Scientific reports
Jun 4, 2024
The advent of the fourth industrial revolution, characterized by artificial intelligence (AI) as its central component, has resulted in the mechanization of numerous previously labor-intensive activities. The use of in silico tools has become prevale...
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
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