Latest AI and machine learning research in medical education for healthcare professionals.
Swarm robotics is a promising approach for the coordination of large numbers of robots. While previous studies have shown that evolutionary robotics techniques can be applied to obtain robust and efficient self-organized behaviors for robot swarms, most studies have been conducted in simulation, and the few that have been conducted on real robots have been confined to laboratory environments. In t...
The robotic surgical platform is being utilized by a growing number of hospitals across the country, including academic medical centers. Training programs are tasked with teaching their residents how to utilize this technology. To this end, we have developed and implemented a robotic surgical curriculum, and share our initial experience here. Our curriculum was implemented for all General Surgical...
A predictive model for streamflow has practical implications for understanding the drought hydrology, environmental monitoring and agriculture, ecosys...
In this paper, a simple, rapid and sensitive method based on liquid chromatography with fluorimetric detection (HPLC-FLD) for the determination of ami...
Cells internalize various molecules through clathrin-mediated endocytosis (CME). Previous live-cell imaging studies suggested that CME is inefficient,...
The number, size and complexity of computational models of biological systems are growing at an ever increasing pace. It is imperative to build on exi...
An improved quantum artificial fish swarm algorithm (IQAFSA) for solving distributed network programming considering distributed generation is propose...
Simulation of neural behavior on digital architectures often requires the solution of ordinary differential equations (ODEs) at each step of the simul...
BACKGROUND: Worldwide, the annual number of robotic surgical procedures continues to increase. Robotic surgical skills are unique from those used in e...
OBJECTIVES: To explore the views of experts about the development and validation of a robotic surgery training curriculum, and how this should be impl...
This paper presents a new framework for synchronization of complex network by introducing a mechanism of event-triggering distributed sampling informa...
Despite the considerable number of in vivo and in vitro studies on the digestive fate of lipophilic nutrients, micronutrients, and bioactives, the eff...
An experimental assessment of personal exposure to PM10 in 59 office workers was carried out in Dublin, Ireland. 255 samples of 24-h personal exposure...
Time-driven simulation methods in traditional CPU architectures perform well and precisely when simulating small-scale spiking neural networks. Nevert...
The ambition of the 2025 PNPL competition (Landau et al., 2025) was to launch a multi-year curriculum for non-invasive speech decoding. Designed to pr...
This paper presents a low-cost, open experimental platform for research in end-to-end autonomous driving with miniature Ackermann vehicles. The platfo...
Using a zoom-in tool is an important foundational part of modern visual agents, because it allows to efficiently handle tasks involving high-resolutio...
As generative AI tools become increasingly powerful and easy to use, people can easily edit portrait images with a prompt, necessitating the task of i...
Most genomic foundation models are pretrained on independent linear assemblies and therefore do not explicitly represent population-level segment shar...
Neuroradiologists rarely read a brain MRI in isolation, yet automated brain-MRI report generation has been built almost entirely for single studies. T...