Cardiovascular

Latest AI and machine learning research in cardiovascular for healthcare professionals.

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AI supported in silico screening of chimeric antigen receptor therapy targets

Chimeric antigen receptor (CAR) cell therapy has achieved transformative clinical success through ta...

Genomic subtypes inferred from clinical sequencing provide significant prognostic stratification in metastatic breast cancer

PurposeThe 11 Integrative Cluster (IntClust) genomic subtypes of breast cancer have both prognostic ...

Hydrocephalic Brain Volume Estimation from Low-Field MRI: Topologically-Enriched Cross-Modal Enhancement and Segmentation

Objective: Accurate volumetric analysis of the brain and cerebrospinal fluid (CSF) is essential for ...

PINT: Pathway-pathway interactions for predicting interpretable clinical outcomes from gene expression

Motivation: Disease mechanisms emerge from the coordinated activity of multiple biological pathways,...

Spatial Message Passing in Language Space for Pathology Image Interpretation

Multimodal Large Language Models (MLLMs) can generate pathological descriptions from histological im...

MammoMix: Leveraging Mixture of Experts for Robust Mammogram Breast Detection

Breast lesion detection in mammography remains a challenging task due to variations in image quality...

Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer

Pathology foundation models (PFMs) provide strong tissue representations and have become central to ...

Infrared Imaging Empowered by Artificial Intelligence for Pediatric Skeletal Triage: A Narrative Review and Future Perspectives

Background. Pediatric musculoskeletal trauma represents up to 18% of pediatric ED visits, yet diagno...

Adaptive Confidence-weighted Expansion for Trustworthy Multi-Omics Multimodal Fusion

Multimodal learning is a robust approach to improve predictive performance in applications such as m...

Learned ultrasound segmentation and deformable CT fusion for augmented reality endovascular surgery

Minimally invasive endovascular procedures offer reduced surgical trauma, shorter recovery times, an...

Causal Discovery of Radiation Response Mechanisms in Human Cells

Next-generation sequencing technologies, including RNA-sequencing, provide genome-wide measurements ...

CGRL: Concept-Guided Pruning and Representation Learning for Whole-Slide Image Classification

Weakly supervised whole-slide image (WSI) classification is widely used in computational pathology b...

RadGuide AI: Development and Technical Evaluation of a General Nuclear Medicine Agent for Traceable Radiopharmaceutical Decision Support

Background: Nuclear medicine and radiopharmaceutical development require coordinated radiochemistry,...

Multi-Timepoint Risk Stratification in Rare Cancers: A Computational Framework Validated against Published Ewing Sarcoma Trial Data

Three audiences -- the family of a newly diagnosed Ewing sarcoma patient, the long-term survivor, an...

Neural correlates of glioma progression using implanted neural interfaces

High-grade glioma is an incurable brain cancer with a median survival of approximately 14 months. Ov...

VESTA: Machine Learning-Enabled Estimation of ViscoElastic Ratios from On-Axis Spatio-Temporal ARFI Features

Viscoelastic characterization of tissue has significant diagnostic value in oncology, as tumor progr...

Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction

In patients with breast cancer, pathological complete response (pCR) has been established as a clini...

GutCore: An Endoscopy Foundation Model for Whole-Case Gastric Cancer Analysis

Background and Aims: Endoscopic artificial intelligence is commonly validated on selected single ima...

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