Artificial Intelligence Medical Compendium

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

Showing 64,681 to 64,690 of 231,605 articles

Old Criteria, New Intelligence: The Evolution of ECG in Pulmonary Hypertension Diagnosis.

Respiratory medicine
BACKGROUND: Pulmonary hypertension (PH) carries a significant mortality risk, highlighting the need for improved early detection strategies. This review examines the evolution of electrocardiographic assessment in PH diagnosis, from traditional crite... read more 

Dbert2_LR: A deep learning-based model for predicting cis-regulatory elements in crops.

Genomics
Cis-regulatory elements (CREs) are key determinants of gene expression underlying complex agronomic traits. However, accurately identifying CREs in crops with large and highly repetitive genomes (such as upland cotton) remains extremely challenging. ... read more 

Components of metabolic syndrome affect COVID-19 outcomes via platelet aggregation.

Journal of thrombosis and haemostasis : JTH
BACKGROUND: Emerging evidence suggests that platelet activation and aggregation are common factors in both metabolic syndrome (MetS) and severe COVID-19, emphasizing the need to investigate their biological connection. OBJECTIVES: We hypothesized tha... read more 

Accurate learning of long-range interatomic potentials by coupling Cartesian atomic cluster expansion and sum-of-Gaussians neural networks.

The Journal of chemical physics
Accurately capturing long-range interactions is critical for molecular dynamics simulations based on machine learning interatomic potentials. We recently proposed the sum-of-Gaussians neural network (SOG-Net), which learns long-range energy contribut... read more 

Spectral attribute reasoning for interpretable multi-modal pathological segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Accurate segmentation of diverse histological entities is fundamental in computational pathology and critical for clinical diagnosis. Advances in microscopic imaging provide complementary information, particularly microscopic hyperspectral images (MH... read more 

VMPicker: A novel cryo-EM particle picker leveraging vision mamba and the segment anything model.

Micron (Oxford, England : 1993)
Cryo-electron microscopy (cryo-EM) has become an essential technique for resolving the three-dimensional structures of biological macromolecules, where accurate particle picking is a critical prerequisite for high-resolution reconstruction. Despite r... read more 

The effectiveness of AI-based conversational agents in nursing education: A systematic review.

Nurse education in practice
AIM: Comprehensive evaluation of randomized and non-randomized controlled trials (RCTs and NRCTs, respectively) on the effectiveness of AI-driven conversational agents in nursing education. BACKGROUND: AI-based conversational agents are innovative ed... read more 

TransGAT-DTA: A multi-task framework for drug-target affinity prediction and conditional molecule generation.

Biochemical and biophysical research communications
Discovering novel molecules that effectively interact with target proteins remains a time-consuming and costly challenge in drug development. Current machine learning approaches are typically limited to single-task settings and cannot simultaneously ... read more