Artificial Intelligence Medical Compendium

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

Showing 47,231 to 47,240 of 224,199 articles

AI-driven, low-cost aids for people with visual impairment.

Current opinion in ophthalmology Feb 25, 2026
PURPOSE OF REVIEW: The rapid integration of artificial intelligence (AI) into mainstream consumer devices has created new opportunities for accessible, low-cost support for individuals with visual impairment. This review examines emerging AI-driven t... read more 

Synergistic Study of Crosslinking and Filler Effect in Composite Solid Polymer Electrolytes for High-Performance Lithium Metal Batteries.

ChemSusChem Feb 25, 2026
The inherent instability of lithium metal with liquid electrolytes, as well as the performance constraints of typical solid electrolytes, has long shifted efforts to develop lithium metal batteries (LMBs). This review contends that the design approac... read more 

Progress on High-Entropy Oxide Anode Materials for Advanced Lithium-Ion Batteries.

ChemSusChem Feb 25, 2026
The rapid development of electric vehicles and large-scale energy storage is driving the requirements for lithium-ion batteries (LIBs) with high energy density, long cycle life, and enhanced safety. However, the commercial graphite anode (372 mAh g-1... read more 

Intelligent microfluidics: A deep learning-integrated platform for high-accuracy oocyte membrane permeability characterization in cryobiology.

Analytica chimica acta Feb 25, 2026
BACKGROUND: Oocyte cryopreservation remains constrained by the limited efficiency of water and cryoprotective agent (CPA) transport across the cell membrane largely due to the absence of automated, high-throughput tools capable of quantifying key per... read more 

C/R-PMGAN: A dual-path self-supervised and patch-masked generative adversarial network for transferable black-box attack.

Neural networks : the official journal of the International Neural Network Society Feb 25, 2026
Generative Adversarial Networks (GANs) are widely applied for generating various types of data (e.g., images, text, audio). Accordingly, its excellent performance has led to the broad adoption of GAN-based adversarial attack methods in black-box scen... read more 

Diagnostic Imaging Pathways in Peripheral Artery Disease: A Comparative Review of Duplex Ultrasound Through Computed Tomography Angiography.

The International journal of angiology : official publication of the International College of Angiology, Inc Feb 25, 2026
Peripheral artery disease (PAD) is a major global health challenge, affecting more than 200 million people worldwide and an estimated 8 to 12 million in the United States. Its clinical spectrum ranges from intermittent claudication to chronic limb-th... read more 

Adversarial Robustness of Deep Learning-Based Thyroid Nodule Segmentation in Ultrasound

arXiv Feb 25, 2026
Introduction: Deep learning-based segmentation models are increasingly integrated into clinical imaging workflows, yet their robustness to adversarial perturbations remains incompletely characterized, particularly for ultrasound images. We evaluated ... read more 
Computer Vision and Pattern Recognition cs.AI

Effects of Training Data Quality on Classifier Performance

arXiv Feb 25, 2026
We describe extensive numerical experiments assessing and quantifying how classifier performance depends on the quality of the training data, a frequently neglected component of the analysis of classifiers. More specifically, in the scientific cont... read more 
Machine Learning q-bio.GN stat.ML

The Design Space of Tri-Modal Masked Diffusion Models

arXiv Feb 25, 2026
Discrete diffusion models have emerged as strong alternatives to autoregressive language models, with recent work initializing and fine-tuning a base unimodal model for bimodal generation. Diverging from previous approaches, we introduce the first tr... read more 
Machine Learning

Perceptual Quality Optimization of Image Super-Resolution

arXiv Feb 25, 2026
Single-image super-resolution (SR) has achieved remarkable progress with deep learning, yet most approaches rely on distortion-oriented losses or heuristic perceptual priors, which often lead to a trade-off between fidelity and visual quality. To add... read more 
Image and Video Processing cs.CV cs.MM
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