AIMC Topic: Computer Simulation
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Home practice for robotic surgery: a randomized controlled trial of a low-cost simulation model.
Journal of robotic surgery
Aug 2, 2023
Pre-operative simulated practice allows trainees to learn robotic surgery outside the operating room without risking patient safety. While simulation practice has shown efficacy, simulators are expensive and frequently inaccessible. Cruff (J Surg Edu...
Event-based fixed-time synchronization of neural networks under DoS attack and its applications.
Neural networks : the official journal of the International Neural Network Society
Aug 1, 2023
In this paper, the fixed-time synchronization control for neural networks with discontinuous data communication is investigated. Due to the transmission blocking caused by DoS attack, it is intractable to establish a monotonically decreasing Lyapunov...
Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens.
Journal of chemical theory and computation
Aug 1, 2023
The design of new biomolecules able to harness immune mechanisms for the treatment of diseases is a prime challenge for computational and simulative approaches. For instance, in recent years, antibodies have emerged as an important class of therapeut...
Deep-Learning-Based Metal Artefact Reduction With Unsupervised Domain Adaptation Regularization for Practical CT Images.
IEEE transactions on medical imaging
Aug 1, 2023
CT metal artefact reduction (MAR) methods based on supervised deep learning are often troubled by domain gap between simulated training dataset and real-application dataset, i.e., methods trained on simulation cannot generalize well to practical data...
Deep learning proton beam range estimation model for quality assurance based on two-dimensional scintillated light distributions in simulations.
Medical physics
Jul 30, 2023
BACKGROUND: Many studies have utilized optical camera systems with volumetric scintillators for quality assurances (QA) to estimate the proton beam range. However, previous analytically driven range estimation methods have the difficulty to derive th...
Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology.
Computers in biology and medicine
Jul 29, 2023
Hemodynamic parameters are of great significance in the clinical diagnosis and treatment of cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of hemodynamics remains a challenge for current invasive detection and simul...
Performance of an artificial intelligence chatbot with web search capability in cardiology-related assistance: a simulation study.
Revista espanola de cardiologia (English ed.)
Jul 26, 2023
Stability of clinical prediction models developed using statistical or machine learning methods.
Biometrical journal. Biometrische Zeitschrift
Jul 19, 2023
Clinical prediction models estimate an individual's risk of a particular health outcome. A developed model is a consequence of the development dataset and model-building strategy, including the sample size, number of predictors, and analysis method (...
Deep learning-based local SAR prediction using B maps and structural MRI of the head for parallel transmission at 7 T.
Magnetic resonance in medicine
Jul 19, 2023
PURPOSE: To predict subject-specific local specific absorption rate (SAR) distributions of the human head for parallel transmission (pTx) systems at 7 T.
Exploring the criticality hypothesis using programmable swarm robots with Vicsek-like interactions.
Journal of the Royal Society, Interface
Jul 19, 2023
A widely mentioned but not experimentally confirmed view (known as the 'criticality hypothesis') argues that biological swarm systems gain optimal responsiveness to perturbations and information processing capabilities by operating near the critical ...
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