Artificial Intelligence Medical Compendium

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

Showing 55,861 to 55,870 of 226,731 articles

Parallel Training in Spiking Neural Networks

arXiv
The bio-inspired integrate-fire-reset mechanism of spiking neurons constitutes the foundation for efficient processing in Spiking Neural Networks (SNNs). Recent progress in large models demands that spiking neurons support highly parallel computation... read more 

How to mitigate the caveat emptor burden of human and machine users of the Protein Data Bank.

Acta crystallographica. Section D, Structural biology
It is postulated that the PDB should use the CAVEAT record more prominently to warn scientists using its archives of potential risks and errors. read more 

Integrative LC-MS/MS, Bioinformatics, and Molecular Dynamics Reveal Multitarget Antioxidant Mechanisms of Bushen Huoxue Decoction in Intervertebral Disc Degeneration.

Biomedical chromatography : BMC
Intervertebral disc degeneration (IVDD) is a major cause of low back pain and disability. Excessive reactive oxygen species (ROS) disrupt disc homeostasis. Bushen Huoxue (BSHX) decoction, a traditional Chinese medicine, shows clinical efficacy in IVD... read more 

Highly Accelerated T1ρ Imaging in 3 min: Comparison Between Compressed Sensing and Deep Learning Reconstruction.

NMR in biomedicine
The purpose of this study was to compare between compressed sensing (CS) and deep learning (DL) accelerated T1ρ mapping in knee cartilage, a quantitative imaging technique that provides valuable information for disease diagnosis but requires long sca... read more 

Development of a Flexible Parallel Wire Robot for Epicardial Interventions.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: HeartPrinter is a flexible parallel wire robot that adheres to the beating heart with vacuum suction at three bases. An injector head actuated by cables delivers gene therapy injections within the bounds of the bases. To deploy onto the e... read more 

A Deep Learning-Based Human-Robot Collaborative Navigation Framework for Vascular Interventional Surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Autonomous robotic surgery has demonstrated its potential for the optimal outcomes. However, vascular interventional surgery (VIS) with flexible catheters and soft tissue raises challenges to autonomous execution of preplanned tasks due t... read more 

Predicting Depression Risk Among Chinese College Students From Childhood Adversity and Recent Stress Exposure Using Interpretable Machine Learning.

Stress and health : journal of the International Society for the Investigation of Stress
Previous research has shown that both early-life stressors (e.g., adverse childhood experiences) and recent stress exposure (e.g., recent life events) may contribute to the onset of depressive symptoms. However, their combined predictive effect on de... read more 

An Explainable Machine Learning Model for Predicting Short-Term Haemodynamic Changes Post-TIPS With Prognostic Implications.

Liver international : official journal of the International Association for the Study of the Liver
BACKGROUND AND AIMS: While remeasuring portacaval pressure gradient (PPG) after transjugular intrahepatic portosystemic shunt (TIPS), it provides superior prognostic information, and its clinical utility is limited by invasiveness. We aimed to develo... read more 

Letter to the Editor: Machine Learning Models for Screening Steatosis in MASLD: An International Validation Study.

Liver international : official journal of the International Association for the Study of the Liver
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