Artificial Intelligence Medical Compendium

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

Showing 6,711 to 6,720 of 205,891 articles

High-frequency EEG synchronization modes as a stable biometric signature in humans.

iScience
Electroencephalography (EEG) offers a promising modality for biometric identification, though balancing performance, interpretability, and robustness remains a challenge. High-accuracy methods typically rely on supervised or deep learning models with... read more 

Integrating MIKE model simulations with CNNs for rapid and accurate urban flood prediction.

iScience
Rapid prediction of urban pluvial flooding is an important tool for mitigating current urban flooding disasters. This paper constructs a fast prediction model for urban flooding based on a machine learning approach. Firstly, MIKE numerical model simu... read more 

Mental health in early pregnancy: Interplay of objectively measured lifestyles, gut microbiota, and metabolomics.

iScience
Prenatal anxiety symptoms (AS) and depression symptoms (DS) in early pregnancy substantially impact maternal-infant health, but their pathophysiological mechanisms remain unclear. We conducted a multimodal assessment of 161 early-pregnant women. DS e... 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 

Learning-assisted locality optimisation in online suffix tree construction: Formal analysis and empirical validation.

Computational biology and chemistry
Suffix trees underpin many string-processing applications, yet their classical O(n) construction algorithms suffer in practice from the gap between processor and memory speeds: cache misses, not arithmetic operations, dominate wall-clock time. This p... read more 

Unveiling the cognitive features of L2 Chinese reading: Machine learning reveals subskill-specific and general eye-movement patterns.

Acta psychologica
Traditional reading assessments rely heavily on offline summative outcomes, obscuring the implicit cognitive dynamics of online processing. To render these latent cognitive dynamics empirically tractable, this study employs a data-driven machine lear... read more 

Artificial intelligence empowered coronary artery imaging: A review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Cardiovascular disease is the leading cause of death worldwide, with coronary artery disease the most prevalent cause. Although artificial intelligence has advanced medical imaging, few reviews focus specifically on AI-powered coronary artery imaging... read more 

Artificial intelligence for real-time motion tracking in MRI-guided radiotherapy: A systematic review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
BACKGROUND AND PURPOSE: Intrafraction motion compromises accurate dose delivery in MRI-guided radiotherapy (MRIgRT), motivating the adoption of artificial intelligence (AI). This systematic review aims to evaluate the performance of AI-driven motion ... read more 

Evolution of PM2.5 chemical composition during summer new particle formation in a coastal city in the Yangtze River Delta: insights from pollution episodes, machine learning, and air mass origins.

Environmental research
To investigate the influence of O3 on new particle formation (NPF) events and associated changes in PM2.5 chemical composition, an observation campaign was conducted in suburban Wuzhen, Jiaxing from August to September 2024. A total of 13 NPF events ... read more 

Synergistic dual-strategy incorporating hollow-structuring and deposition of MoS· conductive layer for enhancing photocatalytic activity of ZnO.

Environmental research
Despite methods for improving photo-activity have been proposed over years, the synergism from coupling them remains mystery. Therefore, current study unveils this by incorporating both hollow-structuring and deposition of conductive layer in one-sin... read more