Artificial Intelligence Medical Compendium

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

Showing 14,751 to 14,760 of 212,071 articles

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 

Performance of a self-attention-based model in the task of differentiating clear cell renal cell carcinoma from other renal tumors: variable Vision Transformer (vViT).

The British journal of radiology
OBJECTIVES: To examine the performance of the variable Vision Transformer (vViT) in comparison with that of convolutional neural networks (CNNs) in the task of differentiating clear cell renal cell carcinoma (ccRCC) and non-ccRCC using computed tomog... read more 

Prognostic Significance of Baseline 18F-FDG PET/CT Parameters in Combination with an Artificial Intelligence-Based Pleural Effusion Segmentation Model for Malignant Pleural Effusion.

The British journal of radiology
OBJECTIVES: We aimed to use an artificial intelligence (AI)-based pleural effusion segmentation model on baseline 18F-FDG positron emission tomography/computed tomography (PET/CT) images to investigate the prognostic value of PET/CT-derived parameter... read more 

Uncovering G Protein-Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis.

Annals of clinical and translational neurology
BACKGROUND: Low-grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein-coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GP... read more