Artificial Intelligence Medical Compendium

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

Showing 45,401 to 45,410 of 224,055 articles

XNet: Enhancing Physical Activity Intensity Assessment With Attentional Multidomain Fusion and Visual Analytics.

IEEE transactions on cybernetics
Sedentary behavior (SB) is a major global health concern, necessitating accurate physical activity (PA) intensity monitoring. Conventional machine-learning (ML) methods using accelerometers struggle to generalize due to variability across populations... read more 

Collaborative Coarse-to-Fine Disease Learning With Discharge Summary Awareness for EHR Event Prediction.

IEEE transactions on cybernetics
Deep learning-based models have been widely used to predict electronic health record (EHR) events by exploiting diagnostic characteristics. Despite significant progress, three limitations remain: 1) effectively modeling dynamic relationships among di... read more 

METRON: Metabolic Dynamic Perception Kolmogorov-Arnold Network for Biological Age Estimation.

IEEE transactions on computational biology and bioinformatics
Biological age provides a more direct reflection of physiological status than chronological age, serving as a vital measure to evaluate health risks and aging interventions. While steroid metabolomics offers rich information for exploring aging mecha... read more 

A Deep Learning Framework for Identifying Essential Proteins Based on Vision Transformer.

IEEE transactions on computational biology and bioinformatics
Essential proteins are fundamental to the reproduction and survival of cells, and if they are killed, the cells will stop reproducing or die. Many computational methods of identifying essential proteins are proposed which fuse a large number of featu... read more 

Impedance Myography Circle Mapping: A Geometry-Based Multi-Frequency EIM Framework for Quantitative Assessment of Post-Stroke Muscle Impairment.

IEEE transactions on bio-medical engineering
Post-stroke neuromuscular impairment arises from heterogeneous structural and electrophysiological alterations, including disrupted membrane integrity, fiber atrophy, and increased intramuscular fat. These changes substantially alter the resistive-ca... read more 

ICP-WAVES: Intracranial Pressure Waveform Analysis and Visualization for Enhanced Signal Processing.

IEEE transactions on bio-medical engineering
OBJECTIVE: Intracranial pressure (ICP) waveform morphology reflects brain compliance and cerebrospinal fluid dynamics. Existing monitoring methods fail to fully capture complex temporal patterns nor enable real-time interactive analysis to improve cl... read more 

Bone Mineral Density of Spine Patients with CT Hounsfield Units and AI Segmentation: A Contemporary Review.

Asian journal of neurosurgery
It is widely accepted that bone mineral density affects outcomes for spinal arthrodesis surgeries. Traditional techniques such as dual-energy X-ray absorptiometry (DEXA) historically have been used to screen for osteopenia and osteoporosis. Hounsfiel... read more 

A Multiomic Liquid Biopsy for the Earlier Detection of Colorectal Cancer.

Cancer prevention research (Philadelphia, Pa.)
UNLABELLED: Timely diagnosis and intervention in colorectal cancer are critical to improving patient outcomes and limiting disease progression. Screening of average-risk individuals is essential for detecting tumors at an earlier, more treatable stag... read more 

Patterns of AI Use in Clinical Work by Hospitalists: Survey Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) tools are widely and freely available for clinical use. Understanding hospitalists' real-world adoption patterns in the absence of organizational endorsement is essential for health care institutions to develo... read more 

Development and validation of a multimodal deep learning model for early esophageal squamous neoplasia detection and invasion depth prediction.

Endoscopy
Early detection of esophageal squamous cell carcinoma (ESCC) is critical for optimizing patient outcomes. Magnifying endoscopy and endoscopic ultrasonography (EUS) serve as established diagnostic modalities. The multimodal ultrasound and magnifying e... read more