Artificial Intelligence Medical Compendium

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

Showing 37,751 to 37,760 of 223,469 articles

Metabolite correlation-based network analysis combined with machine learning techniques highlights LOX biosynthesis in Vanilla planifolia and Vanilla pompona source leaves.

Scientific reports
The vanilla genus of the orchid family is the primary source of the famous vanilla spice. Here, the central metabolome of source leaves of two important commercial vanilla species (V. planifolia, V. pompona) - collected from two distinct geographical... read more 

Long term evolutions of hard exudates after anti-VEGF therapy for diabetic macular oedema.

Eye (London, England)
PURPOSE: To evaluate longitudinal change in hard exudate (HEs) volume over 5-years following anti-VEGF treatment for diabetic macular oedema (DMO). METHODS: This study was a post-hoc analysis of structural optical coherence tomography (OCT) volume sc... read more 

Machine learning-predicted chromatin organization landscape across pediatric tumors.

Scientific reports
Structural variants (SVs) are increasingly recognized as important contributors to oncogenesis through their effects on 3D genome folding. Recent advances in whole-genome sequencing have enabled large-scale profiling of SVs across diverse tumors, yet... read more 

Deep learning-based infrared thermography reveals reproducible uniform and individual thermoregulatory responses during running.

Scientific reports
Infrared thermography (IRT) has recently gained attention in the field of exercise physiology, due to its ability to monitor thermoregulatory and cardiopulmonary responses non-invasively and in real time during physical exercise. However, the reprodu... read more 

Evaluating multimodal commercial and open-source large language models for dynamical astronomy: a benchmark study of resonant behavior classification.

Scientific reports
We present a systematic evaluation of modern multimodal large language models (LLMs) for the classification of mean-motion and secular resonances from images of resonant arguments. Four benchmark datasets (RB-TEST, RB-PILOT, RB-SMALL, RB-FULL) were c... read more 

Deep learning characterizes depression and suicidal ideation in young adults from eye movements.

NPJ digital medicine
Objective biobehavioral markers for mental health conditions remain elusive, with diagnosis typically relying on self-reports and clinical interviews. We investigate eye tracking as a potential marker of attentional and mood biases associated with sy... read more 

Unraveling karst vulnerabilities: spatiotemporal shifts and anthropogenic drivers shaping Zunyi's landscape ecological risk.

Environmental monitoring and assessment
Karst regions in southwest China face acute ecological risks due to fragile geological structures, rocky desertification, and sensitivity to human disturbance. Rapid urbanization and tourism growth have further intensified pressures on ecological sec... read more