Artificial Intelligence Medical Compendium

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

Showing 771 to 780 of 159,839 articles

Study on the Effect of the Envelope of Terahertz Unipolar Stimulation on Cell Membrane Communication-Related Variables.

Research (Washington, D.C.) Jul 15, 2025
The development of terahertz science and technology has shown new application prospects in artificial intelligence. Terahertz stimulation can lead to information communication of cells. Terahertz unipolar picosecond pulse train stimulation can activa... read more 

Driven early detection of chronic kidney cancer disease based on machine learning technique.

PloS one Jul 15, 2025
In recent times, chronic kidney cancer has been considered a significant cause of cancer, and Renal Cell Carcinoma (RCC) has become a significant prevalent among various kidney cancer conditions. The analysis of kidney cancer, an important and often ... read more 
Humans Machine Learning Image Processing, Computer-Assisted Renal Insufficiency, Chronic Algorithms Deep Learning Early Detection of Cancer Kidney Neoplasms Carcinoma, Renal Cell

Consensus structure prediction of A. thaliana's MCTP4 structure using prediction tools and coarse grained simulations of transmembrane domain dynamics.

PloS one Jul 15, 2025
Multiple C2 Domains and Transmembrane region Proteins (MCTPs) in plants have been identified as important functional and structural components of plasmodesmata cytoplasmic bridges, which are vital for cell-cell communication. MCTPs are endoplasmic re... read more 
Endoplasmic Reticulum Arabidopsis Proteins Arabidopsis Membrane Proteins Protein Domains Molecular Dynamics Simulation Protein Conformation Deep Learning

Acousto-Electric Conversion Fiber Networks via Regional Activation of Schwann Cell-Derived Exosomes for Neurogenic Bone Regeneration.

Research (Washington, D.C.) Jul 15, 2025
Neurogenic bone regeneration is essential for the effective restoration of bone tissue functionality, with exosomes derived from Schwann cells regionalized in bone injury tissue playing a crucial role in this process. However, precisely regulating th... read more 

Applying binary mixed model to predict knee osteoarthritis pain.

PloS one Jul 15, 2025
Data used to understand knee osteoarthritis (KOA) often involves knee-level, rather than person-level information. Failure to account for the correlation between joints within a person may lead to inaccurate inferences. The aim of this study was to d... read more 
Osteoarthritis, Knee Humans Machine Learning Middle Aged Knee Joint Aged Algorithms Pain Measurement Male Pain Female

The evolution of prenatal Whole Exome Sequencing: from cytogenetics to precision medicine.

Archive of clinical cases Jul 15, 2025
Prenatal genetic diagnostics have undergone a remarkable transformation, progressing from early cytogenetic techniques such as karyotyping and fluorescence in situ hybridization (FISH) to chromosomal microarray analysis (CMA) and, most recently, whol... read more 

Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury.

PloS one Jul 15, 2025
Spinal cord injury (SCI) is a debilitating neurological condition that severely impacts motor, sensory, and autonomic functions, leading to significant challenges in patient quality of life and imposing substantial economic burdens on society. PANopt... read more 
Pyroptosis Spinal Cord Injuries Male Gene Expression Profiling Rats Apoptosis Humans Animals

Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods.

PloS one Jul 15, 2025
In complex geological environments, the morphology, orientation and distribution characteristics of cracks in the rock directly affect the stability assessment for rock masses and engineering safety decisions. However, the traditional manual interpre... read more 
Algorithms Geologic Sediments Geological Phenomena Deep Learning Image Processing, Computer-Assisted

Multimodal deep learning improving the accuracy of pathological diagnoses for membranous nephropathy.

Renal failure Jul 14, 2025
OBJECTIVES: Renal biopsy is the gold standard for the diagnosis of glomerular diseases including membranous nephropathy (MN), however, it faces challenges in accuracy, objectivity, and reproducibility of tissue evaluation. This study aims to develop ... read more 
Biopsy Kidney Glomerulus Deep Learning Kidney Fluorescent Antibody Technique Glomerulonephritis, Membranous Microscopy, Electron Aged Adult Male Middle Aged Female Reproducibility of Results Humans

Generative AI in hepatology: Transforming multimodal patient-generated data into actionable insights.

Hepatology communications Jul 14, 2025
Cirrhosis care is inherently complex, marked by a high risk of acute decompensation and significant morbidity and mortality. Traditional episodic care models provide static snapshots of a patient's condition, limiting the ability to address dynamic c... read more 
Ascites Hepatic Encephalopathy Gastroenterology Liver Cirrhosis Humans Artificial Intelligence
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