Artificial Intelligence Medical Compendium

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

Showing 20,701 to 20,710 of 216,088 articles

Immune Spatial Organization Predicts Distant Metastasis Risk in Aggressive Localized Prostate Cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research
PURPOSE: Computational pathology has emerged as an attractive option for improving risk stratification in prostate cancer (PCa), but most approaches either lack interpretability or focus solely on tumor morphology. We aimed to identify an interpretab... read more 

Breathable Bioadhesive Electronic Skin for Precise Multimodal Electrophysiological Monitoring with AI-Assisted Physiological-State Prediction.

ACS applied materials & interfaces
Accurate and stable monitoring of electrophysiological (EP) signals is essential for wearable healthcare applications. However, conventional commercial electrodes suffer from poor conformal contact, limited breathability, and weak adhesion under swea... read more 

Instance-Aware Pseudo-Labeling and Class-Focused Contrastive Learning for Weakly Supervised Domain Adaptive Segmentation of Electron Microscopy.

Neuroinformatics
Annotation-efficient segmentation of the numerous mitochondria instances from various electron microscopy (EM) images is highly valuable for biological and neuroscience research. Although unsupervised domain adaptation (UDA) methods can help mitigate... read more 

Wake-Up-Free Complementary Metal-Oxide-Semiconductor-Compatible Multiferroic Heterostructures for Application in Magnetoelectric Spin-Orbit Devices.

ACS applied materials & interfaces
The integration of multiferroic materials into complementary metal-oxide-semiconductor (CMOS) technology presents an exciting frontier in nanoelectronic research. These materials enable energy-efficient, non-volatile functionalities, which are highly... read more 

Molecular mechanisms linking cadmium chloride exposure to ankylosing spondylitis: an integrative network-based study.

Naunyn-Schmiedeberg's archives of pharmacology
Chronic cadmium chloride (CC) exposure is associated with diverse toxicological outcomes, yet its potential role in the pathogenesis of ankylosing spondylitis (AS) remains unclear. This study employed a network toxicology framework to computationally... read more 

Percutaneous endoscopic interlaminar discectomy in patients with lumbar disc herniation: risk factors and thresholds for adverse outcomes.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
BACKGROUND: Percutaneous endoscopic interlaminar discectomy (PEID) is a common surgical technique for lumbar disc herniation (LDH), but the risk factors for adverse outcomes remain controversial. This study aims to develop and validate a predictive m... read more 

Machine learning-based integration of respiratory oscillometry and spirometry for predicting clinical outcomes in spinal muscular atrophy.

European journal of pediatrics
UNLABELLED: Assessing respiratory function in spinal muscular atrophy (SMA) is challenging due to the effort-dependent nature of traditional spirometry. While respiratory oscillometry offers a passive alternative, its clinical utility in predicting c... read more 

Mechanisms driving thoracic aortic aneurysm instability.

Biomechanics and modeling in mechanobiology
Thoracic aortic aneurysms arise from a combination of biological and mechanical factors. Current clinical guidelines use size and rate of expansion to stratify risk, but such metrics do not necessarily predict if an aneurysm will stabilize, grow, dis... read more