Artificial Intelligence Medical Compendium

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

Showing 48,431 to 48,440 of 224,199 articles

MeshONet: A generalizable and efficient operator learning method for structured mesh generation.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2026
Mesh generation plays a crucial role in scientific computing. Traditional mesh generation methods, such as TFI and PDE-based methods, often struggle to achieve a balance between efficiency and mesh quality. To address this challenge, physics-informed... read more 

Similarity-aware contrastive learning for face anti-spoofing via frequency enhancement and reconstruction.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2026
With the widespread application of face recognition systems, face anti-spoofing (FAS) has emerged as a critical research topic. Recent studies increasingly focus on the frequency domain instead of the spatial domain, as subtle spoofing patterns can b... read more 

Contrastive knowledge embedding with discriminative self-weighted sampling.

Neural networks : the official journal of the International Neural Network Society Feb 19, 2026
Knowledge Graph (KG) embedding is to map components of a KG including entities and relations into a continuous low-dimensional space, with the goal of simplifying subsequent manipulation while preserving the inherent structure of the KG. Recent resea... read more 

Performance Analysis of Deep Learning Models for Segmentation of Carotid Artery Vessel Wall in 3D-MERGE Images.

The Indian journal of radiology & imaging Feb 19, 2026
BACKGROUND: Carotid vessel wall segmentation and determination of the lumen area are crucial for the diagnosis of atherosclerosis. U-Net-based deep learning models have been investigated for carotid vessel wall segmentation in magnetic resonance imag... read more 

Driver gene mutations and clinical features predict bone metastasis risk in NSCLC: a logistic regression model.

Cancer genetics Feb 19, 2026
Bone metastasis affects approximately 40% of patients with non-small cell lung cancer (NSCLC), significantly impacting patient survival and prognosis. However, the molecular mechanisms linking driver gene mutations to bone metastasis remain poorly un... read more 

Predicting treatment response to neoadjuvant chemotherapy in locally advanced rectal cancer: A combined deep learning and machine learning approach utilizing longitudinal multi-sequence MRI.

European journal of radiology open Feb 19, 2026
PURPOSE: To develop and validate deep leaning-based machine learning models using longitudinal multi-sequence MRI for predicting treatment response of patients with locally advanced rectal cancer (LARC) to neoadjuvant chemotherapy (NCT). METHODS: Thi... read more 

Brain structural and functional alterations in adolescents with borderline personality disorder: A systematic review and a research agenda.

Psychiatry research. Neuroimaging Feb 19, 2026
Adolescent borderline personality disorder (aBPD) is linked to severe psychological problems and social dysfunction in the affected adolescents. However, the neural bases of this disorder are still poorly understood. The objective of this review is t... read more 

Outer Retinal Erosion and Outer Retinal Pinching at the Origin of Subretinal Fluid in Central Serous Chorioretinopathy.

American journal of ophthalmology Feb 19, 2026
PURPOSE: To characterize early outer retinal changes at the site of origin of subretinal fluid (SRF) in central serous chorioretinopathy (CSCR). To investigate their pathophysiologic and clinical significance. DESIGN: Retrospective, nonconcurrent, mu... read more 

Cluster-Validated Graph Neural Network for P-gp Substrate Prediction from Public Data.

Journal of chemical information and modeling Feb 19, 2026
P-glycoprotein (P-gp, MDR1/ABCB1) is a key efflux transporter that limits oral absorption and brain penetration and contributes to clinically relevant drug-drug interactions, yet experimental identification of P-gp substrates is labor-intensive, assa... read more 

Development and Validation of a Frailty Risk Prediction Model for Preoperative Non-Small-Cell Lung Cancer Patients: A Cross-Sectional Study.

Annals of surgical oncology Feb 19, 2026
PURPOSE: Frailty is increasingly recognized as a predictor of poor surgical outcomes, yet its preoperative assessment in patients with non-small-cell lung cancer (NSCLC) remains challenging. This study aimed to develop and validate a high-performance... read more 
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