Artificial Intelligence Medical Compendium

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

Showing 10,241 to 10,250 of 208,952 articles

Fertilization management reshapes plant-nematode interactions across global ecosystems.

Journal of advanced research
INTRODUCTION: Understanding how fertilization shapes the composition and functioning of soil nematodes is critical for maximizing agricultural sustainability and plant productivity. However, we lack a unified understanding of how different fertilizer... read more 

R-loop-Associated Regulator VDAC1 Drives Malignant Phenotypes in Uveal Melanoma.

Experimental eye research
BACKGROUND: R-loops regulate genome stability and transcription, but their roles in uveal melanoma (UVM) are unclear. METHODS: A total of 1,185 R-loop regulators were analyzed across TCGA-UVM and GEO cohorts. We utilized ssGSEA to assess global R-loo... read more 

Probabilistic risk assessment of heavy metals sources by integrating interpretable machine learning with receptor models.

Environmental pollution (Barking, Essex : 1987)
Accurate source apportionment of heavy metals (HMs) in surface water and the development of a source-based risk assessment system is essential for formulating effective pollution mitigation strategies. However, the combined contamination patterns of ... read more 

Next generation risk assessment and new approach methodologies for sustainable management of heavy metal contaminated environments: A critical review.

Environmental pollution (Barking, Essex : 1987)
Environmental stability forms the foundation for sustaining healthy ecosystems and protecting human life, but the relentless accumulation of persistent heavy metals severely undermines both ecological integrity and public health. Accurate assessment ... read more 

Predicting neoadjuvant breast cancer therapy response using BRIDGE from tumor transcriptomics and histopathology.

Annals of oncology : official journal of the European Society for Medical Oncology
BACKGROUND: While expression-based signatures inform adjuvant therapy in breast cancer (BC), no approved molecular biomarkers exist for the neoadjuvant setting, where early response prediction could inform treatment decisions. This challenge is compo... read more 

Deep Learning-Driven Intraoperative Assessment of Pulp Stumps for Precision Pulpotomy.

Journal of dentistry
OBJECTIVES: To develop and validate an automated artificial intelligence (AI) assessment framework based on the self-supervised DINOv2 vision transformer architecture, which objectively classifies intraoperative pulp stump images as "suitable" or "un... read more 

Generative AI-driven enzyme engineering unlocks sustainable valorization of broccoli waste into sulforaphane.

Bioresource technology
Current production of sulforaphane (SFN), a health-promoting isothiocyanate, relies mainly on energy-intensive plant extraction or chemical synthesis, limiting sustainable large-scale manufacture. Here, a waste-to-value framework integrating generati... read more 

Magnetic susceptibility source separation (χ-separation) in quantitative susceptibility mapping.

Magnetic resonance imaging
Conventional quantitative susceptibility mapping (QSM) outputs a voxel-averaged value, frequently obscuring co-localized paramagnetic iron and diamagnetic myelin through phase cancellation. χ-separation resolves this ambiguity by disentangling sub-vo... read more 

Synthetic phase image modulated by two-dimensional sinusoidal profile based on magnitude image using for magnetic resonance imaging reconstruction.

Magnetic resonance imaging
BACKGROUND: Magnetic resonance imaging (MRI) is a complex-valued technique incorporating magnitude and phase information, with phase images critical for susceptibility-weighted imaging and quantitative susceptibility mapping yet often absent in recon... read more 

AI in the EP Lab - Mapping, Imaging, and Signal Interpretation.

Indian pacing and electrophysiology journal
Artificial intelligence (AI) is the use of computational models to learn from electrical, anatomical and imaging data to assist or automate interpretation, prediction and decision making in arrhythmia diagnosis and treatment. This includes interpreta... read more