Artificial Intelligence Medical Compendium

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

Showing 21,051 to 21,060 of 216,088 articles

Rapid Multi-Parametric Quantitative MRI via Deep Learning-Based Synthetic-to-Real Reconstruction and 3D SSFP-MOLED Imaging.

NeuroImage
Multi-parametric quantitative magnetic resonance imaging (mqMRI) holds significant clinical potential through multi-parametric tissue characterization, yet its adoption is hindered by prolonged scan time and sensitivity to non-ideal signal conditions... read more 

Brain-age defines a structural signature of outcomes after vagus nerve stimulation in children.

Brain stimulation
INTRODUCTION: Outcomes following vagus nerve stimulation (VNS) are difficult to predict prior to surgery in pediatric drug-resistant epilepsy (DRE). We investigated whether structural brain differences among children may explain variability in VNS re... read more 

From decision support to clinical integration: A scoping review of artificial intelligence in prehospital airway management.

International journal of medical informatics
BACKGROUND: Airway management is a critical component of prehospital emergency care, where rapid decision-making and procedural accuracy are essential for patient survival. In recent years, artificial intelligence has emerged as a promising tool. How... read more 

The latest AI breakthroughs in structural biology: protein binder design and conformational state prediction.

Communications biology
Structural biology is entering a new phase beyond the original breakthrough of AlphaFold 2, with two emerging frontiers poised to redefine the field: the prediction of full protein conformational landscapes and the routine de novo design of high-affi... read more 

Bridging survival analysis and machine learning to improve healthy life expectancy estimation using PHR records.

NPJ digital medicine
Healthy Life Expectancy (HLE) considers the years an individual has lived free of disease. Minimising time a population spends in ill-health will directly impact national healthcare budgets, alongside individuals' personal quality of life. We utilise... read more 

SC-DGLA: constraint-aware pallet demand forecasting with dynamic graph and learnable lag alignment.

Scientific reports
Accurate and actionable pallet demand forecasting is essential for multi-echelon warehouse supply chains, particularly when facing complex inter-node dependencies and time-varying transportation lags. Existing methods, despite progress in modeling su... read more 

Ensemble machine learning algorithms leveraged on serum proteomics for enhanced early detection of ovarian cancer.

Scientific reports
Ovarian cancer poses a significant clinical challenge due to its asymptomatic onset and poor prognosis, highlighting the critical need for effective early detection strategies. This study developed a framework that integrates serum proteomic profilin... read more 

A Sugeno-multiplicative neuron hybrid system trained by differential evolution algorithm for time series forecasting.

Scientific reports
This paper proposes a novel hybrid neuro-fuzzy forecasting framework that integrates the interpretability of the Sugeno fuzzy inference system with the nonlinear modelling capability of a multiplicative neuron model. Unlike conventional Sugeno models... read more 

Improved self adaptive differential evolution optimized BP neural network for short term entry passenger flow prediction in urban rail transit.

Scientific reports
To address the issues of traditional BP neural networks being prone to local optima and exhibiting limited prediction accuracy in short-term station entry passenger flow prediction for urban rail transit, this study proposes an intelligent prediction... read more