Artificial Intelligence Medical Compendium

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

Showing 34,251 to 34,260 of 221,510 articles

Non-Destructive Determination of Moisture Content in Husk-On Fresh Corn Using Multichannel Visible-Near-Infrared Spectroscopy Combined with Deep Learning.

Applied spectroscopy
Using spectroscopic technology for the accurate and non-destructive determination of moisture content (MC) in husk-on fresh corn (Zea maize L. sinensis Kulesh) is crucial for optimizing harvesting periods, ensuring quality, and maintaining nutritiona... read more 

Computer-aided discovery of CDK16 inhibitors: a docking-augmented machine learning regression modelling approach.

Journal of computer-aided molecular design
Cyclin-dependent kinase 16 (CDK16), a serine/threonine protein kinase, is a critical regulator of cell cycle progression, vesicle trafficking, and apoptosis. Its dysregulation is implicated in the progression of aggressive cancers, including triple-n... read more 

Deep learning reconstruction for 40-keV virtual monoenergetic CT of colon cancer: evaluation of image quality and edge sharpness.

Abdominal radiology (New York)
BACKGROUND: Virtual monoenergetic imaging (VMI) at 40 keV improves iodine attenuation in colon cancer CT but is constrained by severe image noise. Deep learning image reconstruction (DLIR) may address this limitation, but its effect on anatomical edg... read more 

Fine-scale mangrove species monitoring and ecological threshold assessment for coastal management in Quanzhou Bay, China.

Environmental monitoring and assessment
Reliable species-level monitoring of mangrove ecosystems is increasingly required for environmental assessment and regulatory decision-making, yet a methodological gap persists between remote sensing outputs and ecological risk evaluation. This study... read more 

MGPP-DL: deep learning approach for material graph properties prediction.

Journal of molecular modeling
CONTEXT: The discovery of semiconductor materials for photovoltaic and optoelectronic applications is limited by the computational cost of DFT calculations and the requirement for complete 3D crystal structures. Existing deep learning approaches, inc... read more 

Retinal image-based cardiovascular risk prediction using AI-CRS: a multi-modal deep learning framework.

International ophthalmology
This study presents AI-CRS, an AI-driven deep learning framework for cardiovascular risk assessment using retinal images. By combining convolutional neural networks (CNNs), attention mechanisms, and vasculature segmentation, AI-CRS overcomes the limi... read more