Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 4,711 to 4,720 of 203,854 articles

Canalization of neural dynamics by δ-protocadherins in the developing zebrafish optic tectum.

PLoS genetics
Brain dynamics are constrained by the underlying topology of neuronal networks. How genes collaborate to organize these neural networks during development remains an enduring mystery. In humans, large numbers of genes have been implicated in neurodev... read more 

Residual-guided hybrid framework for adversarially robust deep learning-based network intrusion detection.

PloS one
The growing sophistication of cyber threats and adversarial attacks poses critical challenges to the security and robustness of machine learning models deployed in real-world systems. While traditional deep learning architectures excel in clean data ... read more 

Characteristics of Plausible Source Cases Responsible for Recent Mycobacterium tuberculosis Transmission, United States, 2018-2022.

Emerging infectious diseases
Tuberculosis (TB) outbreaks in the United States can cause substantial illness. Using surveillance and genotyping data, we applied a plausible source-case algorithm to identify TB cases reported during 2018-2020 responsible for secondary cases attrib... read more 

Fine-grained evaluation of neighborhood quality in China using street view images and big data technologies.

Scientific reports
With the advent of the post-materialist and post-industrialization era, quality of place has gradually become a hotspot of urban research. But the research has mainly focused on the city or national scale, and there is a lack of exploration on the sm... read more 

STR-GNN: stability-regularized graph neural networks for suppressing spurious temporal variations in dynamic community detection.

Scientific reports
The study of temporal graphs frequently encounters spurious temporal fluctuations, wherein transient noise, inadequate observations, or ephemeral structural perturbations result in unstable and inconsistent community assignments. In dynamic networks,... read more 

Data-driven simulator of multi-animal behavior with unknown dynamics via reinforcement learning.

iScience
Advances in imitation learning for robotics have expanded the possibilities for imitating human and animal movements. However, simulating realistic multi-animal behaviors in biology remains challenging because transition models are often unknown. Sin... read more