Artificial Intelligence Medical Compendium

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

Showing 62,901 to 62,910 of 230,760 articles

Developing a trustworthy and explainable framework for classifying skin lesions through transfer learning and attention mechanisms.

Computational biology and chemistry Jan 19, 2026
Detection of high precision skin lesions, especially melanoma, are still a major challenge in medical imagination due to their close visual equality and lack of reliably labeled datasets. In this study, we introduce a deep learning sketch aimed at ba... read more 

Interface-engineered Gd₂O₃/ZrO₂ bilayer memristor for emulating synaptic plasticity in neuromorphic systems.

Journal of colloid and interface science Jan 19, 2026
Rare-earth-based materials are attracting growing interest for neuromorphic devices due to their unique electronic structures, defect engineering capabilities, and high ionic mobility, which enable energy-efficient and highly controllable memristive ... read more 

UniTrain: A universal iterative semi-supervised training framework for graph representation learning.

Neural networks : the official journal of the International Neural Network Society Jan 19, 2026
Graph neural networks (GNNs) and graph transformers (GTs) perform well in graph-related tasks, but their potential is often limited in semi-supervised settings due to label scarcity. Although robust encoders and pre-training tasks enhance performance... read more 

Early management of acute heart failure.

Current opinion in critical care Jan 19, 2026
PURPOSE OF REVIEW: Acute heart failure (AHF) is a frequent, high-risk emergency department presentation in which early diagnostic and therapeutic decisions strongly influence outcomes. This review is timely as new evidence is reshaping the first hour... read more 

Evolution of the gut microbiome in infancy: recent advances.

Current opinion in clinical nutrition and metabolic care Jan 19, 2026
PURPOSE OF REVIEW: The early-life gut microbiome is a dynamic ecosystem that alongside other niches, such as the oral and skin microbiomes, undergoes rapid assembly and genetic evolution from birth through to adulthood. Although it was originally con... read more 

Robust orthogonal NMF with label propagation for image clustering.

Neural networks : the official journal of the International Neural Network Society Jan 19, 2026
Non-negative matrix factorization (NMF) is a popular unsupervised learning approach widely used in image clustering. However, in real-world clustering scenarios, most existing NMF methods are highly sensitive to noise corruption and are unable to eff... read more 

Systemic Microvasculature Frailty: Brain frailty score predicts contrast-associated acute kidney injury after thrombectomy for stroke.

Clinical neurology and neurosurgery Jan 19, 2026
BACKGROUND: Contrast-associated acute kidney injury (CA-AKI) is a frequent complication after mechanical thrombectomy (MT). Cerebral small vessel disease (CSVD) reflects cerebral microvascular dysfunction driven by systemic vascular risk factors that... read more 

SCAD: A self-constrained solution to automate context-guided zero-shot image anomaly detection.

Neural networks : the official journal of the International Neural Network Society Jan 19, 2026
Image anomaly detection (IAD) usually requires a separated train set to build an inductive model, which then infers on the test set. However, the cost of collecting and labeling training images has inspired zero-shot IAD (ZS-IAD), which directly proc... read more 

Data-driven assessment of nitrogen and phosphorus buffering capacity across 460 Chinese watersheds: Spatial patterns, drivers, and future projections.

Water research Jan 19, 2026
Watershed nitrogen and phosphorus buffering capacity refers to the capacity of a watershed to retain nitrogen and phosphorus in soil, groundwater, and sediments, playing an important regulatory role in balancing human-induced nutrient inputs with dow... read more 

TSMS-SAM2: Multi-scale Temporal Sampling Augmentation and Memory-Splitting Pruning for Promptable Video Object Segmentation and Tracking in Surgical Scenarios.

Machine learning. Health Jan 19, 2026
Promptable video object segmentation and tracking (VOST) has seen significant advances with the emergence of foundation models like Segment Anything Model 2 (SAM2); however, their application in surgical video analysis remains challenging due to comp... read more 
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