Artificial Intelligence Medical Compendium

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

Showing 17,041 to 17,050 of 213,633 articles

HexagonalWarriorMamba: Superior Threshold-Dependent Multi-label Classification of 12-Lead ECG Cardiac Abnormalities

arXiv
The accurate automated diagnosis of cardiac abnormalities from 12-lead electrocardiograms (ECGs) is critical for managing cardiovascular disease. However, detecting concurrent conditions remains a challenge for traditional deep learning models, which... read more 

Imaging Hidden Objects with Consumer LiDAR via Motion Induced Sampling

arXiv
LiDARs are being increasingly deployed for consumer imaging in handheld, wearable, and robotic applications. These sensors can capture the time-of-flight of light at picosecond resolution, which in principle, enables them to capture information about... read more 

Temporal Aware Pruning for Efficient Diffusion-based Video Generation

arXiv
Video diffusion models have recently enabled high-quality video generation with ViT-based architectures, but remain computationally intensive because generation requires attention computation over long spatiotemporal sequences. Token pruning has prov... read more 

Stabilizing, Scaling & Enhancing MeanFlow for Large-scale Diffusion Distillation

arXiv
Diffusion models exhibit remarkable generative capability, but their high latency limits practical deployment. Many studies have attempted to reduce sampling steps to accelerate inference. Among them, MeanFlow has attracted considerable attention due... read more 

Deep analysis of FANTOM CAGE data reveals hierarchical patterns of TSS co-deployment hubs and their disruption in cancers

bioRxiv
Selective deployment of multiple transcription start sites is a major regulatory feature of human transcriptomes. FANTOM CAGE data exhibit a near-universal TSS deployment parsimony which is disrupted in cancers. We have recently shown that TSS deploy... read more 

Next-Generation Phytoremediation Approaches for Environmental Sustainability.

New biotechnology
Environmental contamination by heavy metals, organic pollutants, and industrial waste poses a pressing global challenge that demands advanced, sustainable remediation technologies. Conventional remediation approaches, including soil excavation and ch... read more 

Resolving multiscale challenges in neuroscience: A frequency-aware network and benchmarks for live-cell and nuclear foci segmentation.

Journal of neuroscience methods
BACKGROUND: Neuroscience image analysis is crucial for understanding neuronal dynamics and gene expression. However, two key tasks remain challenging: (1) segmenting live neuronal cells in low-contrast DIC images for dynamic tracking, and (2) detecti... read more 

The state of motor neural networks in low back pain a systematic review and meta-analysis.

The journal of pain
Low back pain (LBP) is one of the most prevalent musculoskeletal disorders and often shows poor recovery. Although symptom persistence is multifactorial, trunk motor control changes are frequently observed and suggested to result from reorganisation ... read more 

Multimodal Artificial Intelligence for Early Detection and Precision Management of Inflammatory and Infiltrative Cardiomyopathies.

Current problems in cardiology
BACKGROUND: Inflammatory and infiltrative cardiomyopathies, including cardiac sarcoidosis, transthyretin amyloidosis, and autoimmune myocarditis, are frequently underrecognized until advanced myocardial dysfunction develops. Conventional diagnosis of... read more