Artificial Intelligence Medical Compendium

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

Showing 51,251 to 51,260 of 225,182 articles

Artificial Intelligence-Assisted Point-of-Care Ultrasound for Evaluating Left Ventricular Ejection Fraction: A Systematic Review of Prospective Observational Studies.

Journal of cardiothoracic and vascular anesthesia Feb 12, 2026
Artificial intelligence (AI) embedded in point-of-care ultrasound (POCUS) could reduce operator dependence in left ventricular ejection fraction (LVEF) assessment and accelerate bedside decision making by non-cardiologists and non-radiologists. Prosp... read more 

A deep learning and morphometric hybrid model for automated quantification of kidney interstitial fibrosis in trichrome-stained whole-slide image.

Journal of pathology informatics Feb 12, 2026
BACKGROUND: Interstitial fibrosis (IF) is the strongest predictor of chronic kidney disease progression. Visual estimation of IF from trichrome (TRI)-stained slides has high interobserver variability and limited reproducibility. METHODS: We developed... read more 

Generalized and group spherical linear interpolation for token-level context compression.

Neural networks : the official journal of the International Neural Network Society Feb 12, 2026
The rapid development of language models has facilitated the solution of various language-related problems. However, current approaches often have certain resource requirements. To address this issue, we propose GSlerp-CC, which incorporates two Sler... read more 

Enhancing out-of-distribution detection with bilateral distribution score.

Neural networks : the official journal of the International Neural Network Society Feb 12, 2026
Out-of-distribution (OOD) detection has emerged as a crucial safeguard for ensuring trustworthy deployment of machine learning models in safety-critical applications. While recent post-hoc methods have achieved progress in identifying OOD samples wit... read more 

Adversarial discriminant attack on text-to-image diffusion models.

Neural networks : the official journal of the International Neural Network Society Feb 12, 2026
Despite advancements in concept-erased diffusion models, the persistent risk of generating Not-Safe-For-Work (NSFW) content in text-to-image tasks remains a critical challenge. To expose vulnerabilities in these models, some existing works designs at... read more 

Deep BSVIEs parametrization and learning-based applications.

Neural networks : the official journal of the International Neural Network Society Feb 12, 2026
We study the numerical approximation of backward stochastic Volterra integral equations (BSVIEs) and their reflected extensions, which naturally arise in problems with time inconsistency, path dependent preferences, and recursive utilities with memor... read more 

FeatureTrojan: Boosting stealthy and steady backdoor attacks with feature poisoning and fine-tuning injection.

Neural networks : the official journal of the International Neural Network Society Feb 12, 2026
Deep neural networks (DNNs) are vulnerable to backdoor attacks, where adversaries can manipulate pre-trained backdoored DNNs and their corresponding applications to produce poisoned outputs when presented with poisoned inputs but behave normally with... read more 

Generative data-engine foundation model for universal few-shot 2D vascular image segmentation.

Medical image analysis Feb 12, 2026
The segmentation of 2D vascular structures via deep learning holds significant clinical value but is hindered by the scarcity of annotated data, severely limiting its widespread application. Developing a universal few-shot vascular segmentation model... read more 

Making waves: Rethinking machine learning in wastewater effluent quality prediction through the overlooked roles of autocorrelation and baseline models.

Water research Feb 12, 2026
Time-series machine learning (ML) approaches have been increasingly used to predict effluent quality in wastewater treatment plants (WWTPs), with a principal focus being on accuracy. However, as wastewater effluent quality is by nature autocorrelated... read more 

SmooNet: Smooth operator neural network and functional differential equation.

Neural networks : the official journal of the International Neural Network Society Feb 12, 2026
Dynamical systems are often modeled by differential equations, where the ordinary differential equations (ODEs) are most commonly used. One major limitation of the ODE model is that it assumes the derivatives of the system only depend on the concurre... read more 
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