Artificial Intelligence Medical Compendium

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

Showing 35,721 to 35,730 of 223,137 articles

Machine learning based prognostic model for oral squamous cell carcinoma using SEER data and external validation.

iScience Apr 6, 2026
Oral squamous cell carcinoma (OSCC) is characterized by an insidious onset, pronounced aggressiveness, and a substantial impact on patient survival. Current prognostication relies heavily on the TNM staging system, which often lacks precision. To add... read more 

Demystifying machine learning approaches in digital bone imaging using microCT and HRpQCT.

Bone reports Apr 6, 2026
Micro-computed tomography (microCT) and high-resolution peripheral quantitative computed tomography (HRpQCT) generate three-dimensional digital images capturing bone structure and quality. Radiomic analytical approaches applied to these images extrac... read more 

Comparing the Generalizability of Multiregional versus Locally Trained Deep Learning Models for Trachoma Detection.

Ophthalmology science Apr 6, 2026
OBJECTIVE: To test the advantage of geographically diverse, multiregional training of artificial intelligence models over single-region training for detection of trachomatous inflammation-follicular (TF) across test sets from different regions. DESIG... read more 

Quantifying the climate and water footprint of artificial intelligence in anaesthesia and intensive care.

European journal of anaesthesiology Apr 6, 2026
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Beyond Data: Artificial intelligence, knowledge graphs, and the next revolution in wheat breeding.

Plant communications Apr 6, 2026
As a cornerstone of global food security, wheat (Triticum aestivum) faces unprecedented pressure from a growing population and a changing climate. However, traditional breeding approaches are increasingly insufficient to address the genetic complexit... read more 

High-resolution LA-ICP-MS imaging combined with attention-enhanced residual network reveal cadmium-induced metal distribution heterogeneity and toxicity in Mytilus galloprovincialis.

Journal of hazardous materials Apr 5, 2026
Marine bivalves often face heavy metal stress, yet we still lack of high-resolution way to observe the metal pollution status in soft tissue. This study provides the first high-resolution spatial mapping of cadmium (Cd) and associated heavy metals in... read more 

Machine learning for frailty assessment and outcome prediction in cardiovascular disease: A scoping review.

Ageing research reviews Apr 5, 2026
BACKGROUND: Frailty is common among individuals with cardiovascular disease (CVD) and is a strong predictor of adverse outcomes. Machine learning (ML) methods have been applied independently in CVD research for risk prediction and in frailty research... read more 

Boosting self-supervised multi-frame depth estimation with hybrid geometric-semantic constraints.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2026
Self‑supervised multi‑frame monocular depth estimation leverages semantic appearance and geometric matching information to improve depth prediction through temporal cues, yet it continues to face challenges posed by semantic and geometric inconsisten... read more 

Dynamic expandable framework for incremental anomaly detection.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2026
Incremental anomaly detection (IAD) has gained significant importance due to the evolving nature of product classes in real-world industrial environments. However, existing IAD methods typically rely on a shared model parameter space, which is prone ... read more 

A discrete memristive cyclic Hopfield neural network with multi-cavity-like attractors and application in secure communication.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2026
Discrete memristors with synapse-like properties play a significant role in elucidating the complex neurodynamic mechanisms of biological neural networks in the brain. This work presents a discrete memristive cyclic Hopfield neural network (DMCHNN), ... read more 
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