AIMC Topic: Computer Simulation

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Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology.

Computers in biology and medicine
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...

Stability of clinical prediction models developed using statistical or machine learning methods.

Biometrical journal. Biometrische Zeitschrift
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
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
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 ...

A Morphologically Individualized Deep Learning Brain Injury Model.

Journal of neurotrauma
The brain injury modeling community has recommended improving model subject specificity and simulation efficiency. Here, we extend an instantaneous (< 1 sec) convolutional neural network (CNN) brain model based on the anisotropic Worcester Head Injur...

Effect of pre-operative warm-up on trainee intraoperative performance during robot-assisted hysterectomy: a randomized controlled trial.

International urogynecology journal
INTRODUCTION AND HYPOTHESIS: The objective was to study the effect of immediate pre-operative warm-up using virtual reality simulation on intraoperative robot-assisted laparoscopic hysterectomy (RALH) performance by gynecology trainees (residents and...

Athlete body fat rate monitoring and motion image simulation based on SDN data center network and sensors.

Preventive medicine
With the development of artificial intelligence technology, new software is also emerging in an endless stream. On the basis of sensors, the new software realizes the separation of network control layer and data layer, thereby improving network throu...

Dynamic parameter identification and adaptive control with trajectory scaling for robot-environment interaction.

PloS one
To improve the force/position control performance of robots in contact with the environment, this paper proposes a control scheme comprising dynamic parameter identification, trajectory scaling, and computed-torque control based on adaptive parameter...

Large language models encode clinical knowledge.

Nature
Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluations based on limited benchmarks. Here, to a...