Artificial Intelligence Medical Compendium

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

Showing 191 to 200 of 199,772 articles

Single-cell sequencing in systemic lupus erythematosus.

Lupus
BackgroundSystemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by heterogeneous clinical manifestations and multi-organ involvement. Current understanding of SLE pathogenesis remains limited, particularly due to the cellul... read more 

Ferroelectric-Polarization-Modulated 2D Floating-Gate Memory Enabling a 106 On/Off Ratio under ±1 V Gate-Voltage Sweep.

Nano letters
Floating-gate transistors based on 2D materials have attracted great interest owing to their superior memory characteristics and high reliability. However, most reported devices still suffer from high operating voltages, limited multifunctionality, e... read more 

Limits of Artificial Intelligence Models for Skin Cancer Diagnosis in Realistic Settings.

JAMA dermatology
IMPORTANCE: Artificial intelligence (AI) systems for skin cancer detection perform well in controlled settings but frequently underperform in everyday clinical practice, raising critical questions about their readiness for deployment. OBJECTIVE: To c... read more 

Low-kVp techniques for radiation dose optimization in abdominopelvic contrast-enhanced CT: a scoping review.

Radiological physics and technology
Contrast-enhanced computed tomography (CECT) of the abdomen and pelvis is widely used for diagnostic imaging but contributes substantially to cumulative medical radiation exposure. Low tube voltage (kVp) imaging has gained attention as a practical st... read more 

Dnq-unet: a two-level fusion framework for few-shot domain adaptation in cervical cancer CTV segmentation.

Radiological physics and technology
To develop and validate a two-level hierarchical fusion architecture enabling efficient few-shot domain adaptation for cervical cancer clinical target volume (CTV) auto-segmentation across different institutional imaging and contouring settings. We p... read more 

Frequency disentanglement with State space gating network for medical image segmentation.

Medical & biological engineering & computing
Precise automated segmentation of anatomical structures is a prerequisite for computer-aided diagnosis, radiotherapy planning, and quantitative medical analysis. However, existing models, whether based on convolutional neural networks (CNN) or transf... read more 

Machine Learning-Assisted KCl-CaCl2-LiCl Electrolyte Design for Low-Temperature, High-Performance Calcium-Based Liquid Metal Batteries.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Calcium-based liquid metal batteries are promising for large-scale energy storage due to calcium abundance and low cost, yet their practical applications are impeded by high operating temperatures, severe self-discharge, limited coulombic efficiency,... read more 

The use of logic for machine learning models in sepsis.

Intensive care medicine experimental
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A systematic review of molecular signaling in the muscle-brain-gut axis: exercise-induced myokines and microbial metabolites as key mediators.

Molecular biology reports
Exercise physiology is evolving from an organ-based framework toward a systems-level understanding, where molecular interactions between muscle, brain, and the gut microbiome critically influence performance and health. This review systematically exa... read more