Artificial Intelligence Medical Compendium

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

Showing 14,531 to 14,540 of 211,815 articles

Optimizing single-lead ECG axis for AI-based detection of myocardial diseases.

NPJ cardiovascular health
Wearable devices enable electrocardiograms (ECGs) outside traditional healthcare settings. While these devices are usually equipped with single-lead ECGs to monitor rhythm abnormalities, recent studies show utility in detecting myocardial diseases wh... read more 

A deep learning framework for scientific chart data extraction and reconstruction.

Communications engineering
Scientific figures encapsulate key empirical evidence and are critical to data-driven discovery and scientific integrity assessment. Despite substantial advances in scientific natural language processing for scientific document analysis, automatic qu... read more 

Advancing solar and wind penetration in China through energy complementarity.

Nature
The intrinsic variability of solar and wind energy, compounded by their rapid expansion, has intensified power curtailment challenges1,2. Although spatiotemporal complementarity between these resources is widely recognized as a pathway to enhance ren... read more 

A deep-learning framework reveals whole-body perturbations at cell level.

Nature
Many diseases, including obesity, have systemic effects that perturb multiple organ systems throughout the body1,2. However, tools for comprehensive, high-resolution analysis of disease-associated changes at the whole-body scale have been lacking. He... read more 

A critical initialization for biological neural networks.

Nature
Intrinsically generated, brainwide neural activity displays macroscopic coordination among large populations of neurons that persists beyond the biophysical timescales of individual neurons1-3. It is not well understood how these macroscopic behaviou... read more 

Forest carbon protocols underestimate climate-driven carbon loss risks.

Nature
Although the reduction of fossil fuel emissions remains of the utmost importance to mitigate climate change, maintaining and enhancing carbon sinks in forests have been widely promoted as nature-based climate solutions1-4. However, disturbances that ... read more 

Identifying heavy metal sources in extreme-arid oasis soils of Southern Xinjiang: a combined analytical approach.

Environmental geochemistry and health
The extreme arid environment of the southern Xinjiang oasis makes it ecologically fragile and highly sensitive to soil changes, including heavy metal pollution.Identifying pollution sources is therefore essential to prevent irreversible impacts. In t... read more 

Integrating multi-omics data for next-generation cancer research and precision medicine.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Multi-omics is the coordinated acquisition, integration, and interpretation of multiple datasets generated from diverse molecular layers of a biological system, intending to capture a comprehensive understanding of interactions between molecular hier... read more 

Attention-Based Point Cloud Completion for CT-Equivalent Kidney Volumetry from Tracked Freehand Ultrasound.

Journal of imaging informatics in medicine
Kidney volume measurement is critical for managing polycystic kidney disease and monitoring transplants, but computed tomography involves radiation and conventional ultrasound has 20-30% error. This study validates tracked freehand ultrasound with at... read more