Artificial Intelligence Medical Compendium

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

Showing 58,111 to 58,120 of 227,634 articles

Recent advances in reticular frameworks and allied composite materials for ultrasensitive optical detection of biogenic and volatile amines in food spoilage monitoring.

Dalton transactions (Cambridge, England : 2003)
Food spoilage arising from protein degradation and microbial activities leads to the release of biogenic amines (BAs) and volatile amines (VAs), which compromise its quality and pose health hazards. Conventional chromatographic techniques for monitor... read more 

Angioimmunoblastic T-cell lymphoma with lymphomatous effusion: Diagnostic challenges and cytology-based approaches.

Histology and histopathology
Angioimmunoblastic T-cell lymphoma (AITL) is an aggressive peripheral T-cell lymphoma with a poor prognosis. Lymphomatous serous effusion, defined as the presence of malignant lymphoma cells in the pleural, pericardial, or peritoneal fluid, is a rare... read more 

Reversible Charge Inversion Enables Field-Programmable Nanofluidic Memristor and Synapse for Neuromorphic Applications.

Nano letters
Memristors, whose conductance depends on their past electrical history, are the foundation of emerging brain-inspired artificial computing architectures. Here, we demonstrate a unipolar memristor in which both ionic conductance and electroosmotic flo... read more 

Relativistic Fermionic Neural Networks Based on Zeroth-Order Regular Approximation: ZORANet.

Journal of chemical theory and computation
In this paper, we introduce ZORANet, a Fermionic neural network framework for the relativistic calculations based on scalar zeroth-order regular approximation (ZORA), which greatly expands the scope of deep neural network-based electronic structure m... read more 

AI-Enabled Sensing Wristband for Student Behavior Detection.

ACS applied materials & interfaces
With the advancement of the Internet of Things (IoT) and artificial intelligence (AI) technologies, wearable sensors will play a significant role in smart healthcare and behavior detection. Based on multiscale convolutional channel attention residual... read more 

Spectral Fingerprinting of Engineered Nanomaterials for Precision Biosensing.

ACS nano
Biological systems comprise a complex milieu of macromolecules, small molecules, and ions comprising tens of thousands of distinct species. Various clinical conditions alter the identities and concentrations of these species in a spatiotemporal-depen... read more 

Integrated CT pipeline for automatic intracranial hemorrhage evaluation with GPT-enhanced clinical decision support.

European radiology
OBJECTIVES: Intracranial hemorrhage (ICH) is a time-critical neurological emergency in which rapid CT-based assessment directly informs treatment decisions. This study aimed to develop an automated deep-learning pipeline to enhance ICH detection, seg... read more 

Stacking Ensemble Machine Learning for Cardiac Safety Assessment Using hiPSC-CM MEA Data.

Annals of biomedical engineering
PURPOSE: Prediction of Torsades de Pointes (TdP) risk using hiPSC-CM assays remains challenging, as many models fail to capture nonlinear patterns and exhibit unstable performance across different drugs. We examined whether a stacking ensemble can im... read more 

Effect of frailty status and histopathological features on upstaging of non-muscle-invasive bladder cancer: a critical analysis based on machine learning.

International urology and nephrology
AIM: This study aimed to develop a machine learning (ML)-assisted model to predict the risk of upstaging (subsequent higher stage on repeat pathology) in non-muscle-invasive bladder cancer (NMIBC). METHODS: A retrospective cohort study was conducted ... read more