Artificial Intelligence Medical Compendium

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

Showing 39,611 to 39,620 of 223,737 articles

Fast and Scalable Hashing-Based Universal Graph Coarsening.

IEEE transactions on pattern analysis and machine intelligence
Large graphs are becoming ubiquitous, presenting significant computational hurdles in data processing and analysis. Graph Coarsening algorithms are frequently employed to condense large graphs while preserving key graph properties. Real-world graphs ... read more 

Predictive value of Hypotension Prediction Index in liver transplantation: a prospective study.

Minerva anestesiologica
BACKGROUND: Intraoperative hypotension (IOH) is associated with increased postoperative morbidity and mortality. This prospective study evaluated the predictive accuracy of the Hypotension Prediction Index (HPI), an artificial intelligence-based algo... read more 

Correlation analysis and prediction models for loess compressibility in Ili region, Xinjiang.

PloS one
Loess compressibility is a crucial engineering parameter governing the deformation of loess foundations and the evolution of slope geohazards. Based on a comprehensive collection of physical, hydraulic, and mechanical parameters of loess in the Ili r... read more 

The Synovial Fingerprint of Ankle Fractures: A Central Role for WNT Pathway Activation in Posttraumatic Ankle Osteoarthritis.

Foot & ankle international
BACKGROUND: Osteoarthritis (OA) of the ankle is a disabling and understudied disease, most commonly emerging posttraumatically after ankle fractures (PTOA). Despite its prevalence, the molecular mechanisms linking joint trauma to ankle OA are not wel... read more 

Clustering of disease trajectories with explainable machine learning: A case study on postoperative delirium phenotypes.

PLOS digital health
The identification of phenotypes within complex diseases is a fundamental component of personalized medicine, which aims to adapt healthcare to individual patient characteristics. Postoperative delirium (POD) is a complex neuropsychiatric condition w... read more 

Advancing workpiece dimension measurement: Integrating AI-based edge detection with machine vision and coordinate measuring systems.

PloS one
Image preprocessing and edge detection are critical in industrial machine vision for workpiece dimension measurement. Challenges arise from interference regions on workpiece surfaces, complicating edge detection and roundness assessment. This paper i... read more 

Redefining multi-target weather forecasting with a novel deep learning model: Hierarchical temporal convolutional long short-term memory with attention (HTC-LSTM-Attn) in Bangladesh.

PloS one
Bangladesh, being a country that relies on agriculture, has its agricultural sector contributing around 20% to the Gross Domestic Product (GDP) and providing employment opportunities for nearly 60% of the population. The study proposes a novel multi-... read more 

D-LIM: A neural network for interpretable gene-gene interactions.

PLoS computational biology
Recent advances in gene editing can produce large genotype-fitness maps for targeted genes, yet predicting the effects of mutations between genes remains challenging. Indeed, biochemical models require knowledge of underlying parameters and interacti... read more