Artificial Intelligence Medical Compendium

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

Showing 37,001 to 37,010 of 223,469 articles

ResTransUNet: a dual-encoder hybrid network for automated liver segmentation in CT scans.

Scientific reports
Precise delineation of the liver is essential for effective diagnosis and treatment planning in hepatocellular carcinoma, yet current clinical practices rely heavily on manual annotation, which is both inefficient and susceptible to human error. In t... read more 

Data from the UK Biobank demonstrates that increased brief, sporadic moderate-to-vigorous physical activity reduces mortality.

Communications medicine
BACKGROUND: Current physical activity guidelines recommend 150-300 min/week of moderate-to-vigorous physical activity (MVPA) to improve health. However, whether brief, sporadic MVPA can be included within this recommended dose remains unclear. METHOD... read more 

GCNPath: introspecting drug response prediction with pathway-guided graph convolution networks.

Communications biology
Drug response prediction (DRP), accounting for the diverse biological characteristics of cancer types that affect sensitivity or resistance to treatment, is crucial for anticancer drug selection and discovery. Although numerous deep learning models f... read more 

Next-generation digital twin model with unobtrusive RF multi-sensing for AI-based human monitoring.

Scientific reports
In healthcare, Digital Twin (DT) model can create real-time digital representations of patients' physiological states, enabling intelligent, data-driven decision-making for continuous monitoring and personalized treatment-without the invasiveness of ... read more 

Machine learning-based temperature prediction across diverse ecosystems for the Boro Season in Bangladesh.

Scientific reports
Climate variability is vital for effective climate adaptation and risk management. This study investigates the temperature variations during the Boro season in Bangladesh and evaluates the performance of multiple machine learning models for predictin... read more 

Comparative performance of LLMs and machine learning in predicting complications after percutaneous kyphoplasty for osteoporotic vertebral compression fractures.

NPJ digital medicine
Exploring large language models (LLMs) performance in the specific medical domain can help understand their generalizability in real-world application. We assessed the predictive and decision-support value of two state-of-the-art LLMs in predicting b... read more 

Comparative performance analysis of U-Net and DeepLabV3+ for semantic segmentation in traffic environments.

Scientific reports
Computer vision is an important field of artificial intelligence that enables machines to interpret and understand visual information from images. It is the basis of automated visual understanding in smart systems. Monitoring of streets, recognizing ... read more