Artificial Intelligence Medical Compendium

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

Showing 24,101 to 24,110 of 217,366 articles

Deep-learning Saturation Transfer Magnetic Resonance Fingerprinting (ST-MRF) in Patients with Parkinson's Disease.

NeuroImage Apr 30, 2026
Parkinson's disease (PD) is marked by progressive neurodegeneration in the substantia nigra (SN). This study evaluated deep-learning saturation-transfer magnetic resonance fingerprinting (ST-MRF) to quantify molecular and microstructural changes in P... read more 

Unsupervised Machine Learning Drives Dynamic Alignment Classification In Navigated Total Knee Arthroplasty.

The Journal of arthroplasty Apr 30, 2026
BACKGROUND: Current classifications used for total knee arthroplasty (TKA) are static and fail to capture the dynamic behavior of the limb during gait. This study introduces a novel intraoperative method to measure dynamic hip-knee angle (dHKA) using... read more 

Integrating statistical and machine learning approaches to characterise and model the performance of a full-scale wastewater treatment plant.

Journal of environmental management Apr 30, 2026
Wastewater treatment plants operate under highly variable influent conditions, challenging process control and regulatory compliance. This study proposes a machine learning framework based on threshold artificial neural networks optimised with geneti... read more 

An integrated machine learning and computational framework with experimental validation for the identification of novel CXCR4 inhibitors.

European journal of medicinal chemistry Apr 30, 2026
Chemokine receptor 4 (CXCR4) is a clinically significant G protein-coupled receptor implicated in HIV-1 entry, cancer progression, immune regulation, and metastatic dissemination, making it an attractive therapeutic target. This study employed an int... read more 

Discovery of novel MDM2 inhibitors from a Penicillium metabolome library: An integrated phylogenetic, machine learning, and molecular simulation approach.

Journal of molecular graphics & modelling Apr 30, 2026
Restoring the tumor-suppressor function of p53 by inhibiting its negative regulator, MDM2, represents a significant therapeutic avenue for cancers that maintain wild-type p53. This research aimed to identify new MDM2 inhibitors through a phylogenetic... read more 

Integrated plasma proteomics and metabolomics reveal immunometabolic pathways and predictive signatures for age-related eye diseases.

Metabolism: clinical and experimental Apr 30, 2026
BACKGROUND AND AIMS: Age-related eye diseases (AREDs) share aging as a major risk factor, but the systemic molecular changes preceding disease onset remain incompletely understood. We aimed to define the shared and disease-specific immunometabolic ar... read more 

When Do Diffusion Models learn to Generate Multiple Objects?

arXiv Apr 30, 2026
Text-to-image diffusion models achieve impressive visual fidelity, yet they remain unreliable in multi-object generation. Despite extensive empirical evidence of these failures, the underlying causes remain unclear. We begin by asking how much of thi... read more 
Computer Vision and Pattern Recognition cs.AI

REALM: An RGB and Event Aligned Latent Manifold for Cross-Modal Perception

arXiv Apr 30, 2026
Event cameras provide several unique advantages over standard frame-based sensors, including high temporal resolution, low latency, and robustness to extreme lighting. However, existing learning-based approaches for event processing are typically con... read more 
Computer Vision and Pattern Recognition cs.AI cs.RO

Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning

arXiv Apr 30, 2026
Real-world knowledge is often organized as hierarchies such as product taxonomies, medical ontologies, and label trees, yet learning hierarchical representations is challenging due to asymmetric structure and noisy semantics. We introduce Polaris, a ... read more 
Machine Learning

Remote SAMsing: From Segment Anything to Segment Everything

arXiv Apr 30, 2026
SAM2 produces high-quality zero-shot segmentation on natural images, but applying it to large remote sensing scenes exposes two problems: (1) its mask generator faces an inherent quality-coverage trade-off: strict thresholds yield precise masks but l... read more 
Computer Vision and Pattern Recognition cs.AI
Popular Topics
Recent Journals