Artificial Intelligence Medical Compendium

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

Showing 47,481 to 47,490 of 224,199 articles

Peripheral Metabolic-Redox Signaling as a Core Mechanism of Major Depressive Disorder: Evidence from Deep Metabolomic Phenotyping.

Acta neuropsychiatrica
BACKGROUND: Major depressive disorder (MDD) is a neuro-immune, oxidative, and nitrosative stress (NIMETOX) disorder, in which peripheral immune-redox pathways intersect with metabolic networks leading to neurotoxicity within the limbic-prefrontal aff... read more 

Autonomous microfluidic labs: progress and prospects.

Lab on a chip
Global challenges such as climate change, escalating energy demands, and health equity require new scientific innovations able to deliver timely solutions. Self-driving laboratories (SDLs) combine robotics and lab automation with artificial intellige... read more 

Natriuretic peptides and cardiac troponins in hypertension and heart failure: A contemporary review of the evidence.

Journal of human hypertension
Hypertension is the second leading cause of heart failure (HF), yet strategies for identifying hypertensive individuals at increased HF risk remain limited. Cardiac biomarkers, particularly natriuretic peptides and cardiac troponins, reflect subclini... read more 

High-sensitivity dual-band microstrip sensor for oil-water mixture analysis with RBF neural network optimization.

Scientific reports
This work presents the design, fabrication, and experimental validation of a compact dual-band microstrip sensor for accurate characterization of oil-water mixtures. The sensor, implemented on an FR-4 substrate with overall dimensions of 10.94 × 14.9... read more 

A privacy-preserving multi-user retrieval system for multimodal artificial intelligence.

Scientific reports
Large language models (LLMs) are integral to cloud-based AI applications, offering robust capabilities for multimodal data processing and retrieval. However, deploying LLMs in environments with multiple users presents notable difficulties, especially... read more 

Distinction between primary and metastatic mucinous ovarian carcinoma from histopathology images using deep learning.

NPJ digital medicine
Accurately distinguishing between primary and gastrointestinal metastatic mucinous ovarian carcinoma (MOC) is crucial but remains highly challenging. We developed and validated the MOC Origin Prediction Model (MOCOPM), the deep learning model specifi... read more