Latest AI and machine learning research in medical education for healthcare professionals.
Increase in complexity of neuronal network models escalated the efforts to make NEURON simulation en...
The scientific interest attracted by Spiking Neural Networks (SNN) has lead to the development of to...
Nasogastric tube (NGT) placement is an essential clinical skill. The training is conventionally perf...
The robotic surgical platform is being utilized by a growing number of hospitals across the country,...
A predictive model for streamflow has practical implications for understanding the drought hydrology...
In this paper, a simple, rapid and sensitive method based on liquid chromatography with fluorimetric...
Cells internalize various molecules through clathrin-mediated endocytosis (CME). Previous live-cell ...
The number, size and complexity of computational models of biological systems are growing at an ever...
OBJECTIVES: To explore the views of experts about the development and validation of a robotic surger...
This paper presents a new framework for synchronization of complex network by introducing a mechanis...
Time-driven simulation methods in traditional CPU architectures perform well and precisely when simu...
Accuracy on medical examinations is common evidence offered for the clinical use of language models,...
Existing paired clean-degraded datasets have advanced learning-based underwater image enhancement, b...
Existing paired clean-degraded datasets have advanced learning-based underwater image enhancement, b...
When training LLMs to code with reinforcement learning, reward hacking is often detectable but diffi...
True whole-body medical imaging captures a patient from head to toe and provides comprehensive anato...
Approximate Bayesian Computation (ABC) is a widely used simulation-based likelihood-free framework f...
ScreenCalib enables light detection and ranging (LiDAR)--camera extrinsic calibration using an ordin...
Simulation is a powerful tool for robotics, but building diverse, simulation-ready scenes at scale r...
Background: Large language models (LLMs) configured as virtual patients may expand structured practi...
High-fidelity surgical video generation is increasingly important for surgical education, simulation...