Artificial Intelligence Medical Compendium

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

Showing 28,341 to 28,350 of 219,260 articles

Nanomaterials reshaping cancer radiotherapy: Radiosensitization mechanisms, delivery and theranostic platforms, multimodal synergy, and clinical translation strategies.

Materials today. Bio Apr 21, 2026
Radiotherapy (RT) remains a cornerstone of cancer management but is fundamentally constrained by normal tissue toxicity, intrinsic and acquired radioresistance, and hypoxia- and microenvironment-driven dose-response plateaus. Engineered nanomaterials... read more 

Efficient Monte Carlo sampling of metastable systems using nonlocal collective variable updates.

The Journal of chemical physics Apr 21, 2026
Monte Carlo simulations are widely used to simulate complex molecular systems, but standard approaches suffer from metastability. Lately, the use of nonlocal proposal updates in a collective-variable (CV) space has been proposed in several works. Her... read more 

Refinement and performance benchmark for range-separated water force field.

The Journal of chemical physics Apr 21, 2026
In our previous work, we developed a CCSD(T)-level range-separated water force field that combines the power of physics-driven and machine learning models. However, it was found that expensive CCSD(T)/CBS calculations lead to a limited number of QM d... read more 

Thermal conductivities of monolayer graphene oxide from machine learning molecular dynamics simulations.

The Journal of chemical physics Apr 21, 2026
Graphene oxide (GO) exhibits rich chemical heterogeneity that strongly influences its structural, thermal, and mechanical properties, yet quantitatively linking reduction chemistry to heat transport remains challenging. In this study, we develop a ma... read more 

MRI-based machine learning model to distinguish hippocampal sclerosis (HS) ILAE type 1 and no HS gliosis only in medial temporal lobe epilepsy.

Epilepsy research Apr 21, 2026
PURPOSE: Despite recent advances in preoperative work-up of drug resistant medial temporal lobe epilepsy (MTLE), predicting post-surgical seizure and memory outcomes remains challenging. Differentiating between "no hippocampal sclerosis Gliosis Only"... read more 

Advancing federated semi-supervised medical image segmentation: A duo of interactive denoising pseudo-labels and convolutional contrastive learning.

Medical image analysis Apr 21, 2026
Many existing studies on federated learning (FL) for segmentation primarily assume that all client data are labeled. However, in reality, due to the high cost of hospital construction and the scarcity of expert annotators, many medical sites can only... read more 

Beyond psychosocial support: A family-system-centric approach to AI-driven geriatric monitoring in Indonesia.

Asian journal of psychiatry Apr 21, 2026
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Deep learning-based segmentation and quantification of pulmonary masses on apparent diffusion coefficient maps: a multicentre reproducibility study.

European journal of radiology Apr 21, 2026
OBJECTIVES: To develop and validate a deep learning model for automatic segmentation of pulmonary masses on apparent diffusion coefficient (ADC) maps and to assess repeatability of automated ADC quantification. METHODS: We proposed ADCSegNet, a deep ... read more 

Decoding viral evolution through integrative bioinformatics: From genomes to global health.

Virology Apr 21, 2026
Bioinformatics has transformed modern virology by linking genomic variation to epidemiology, protein structure, and public health action. This review integrates core analytical frameworks-sequence alignment and genome annotation; maximum-likelihood a... read more 

Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in chronic spontaneous urticaria and autophagy based on machine learning.

The World Allergy Organization journal Apr 21, 2026
BACKGROUND: The exact molecular mechanisms governing a heightened risk of chronic spontaneous urticaria (CSU) associated with autophagy remain largely unexplored. METHODS: We used the GSE72540 RNA dataset (human biopsy samples) for CSU as our trainin... read more 
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