Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Interpretable Deep Learning-Based Multi-Omics Integrationfor Prognosis in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality worldwide, yet existing progno...

Prognostic value of artificial intelligence-derived echocardiographic measurements in transthyretin cardiomyopathy

Background: Transthyretin cardiomyopathy (ATTR-CM) is a progressive, potentially fatal disease requi...

A Transformer-Based 2.5D Deep Learning Model for Preoperative Prediction of Lymph Node Metastasis in Papillary Thyroid Carcinoma

Background: Accurate preoperative prediction of lymph node metastasis (LNM) in papillary thyroid car...

Advancements and limitations of image-enhanced endoscopy in colorectal lesion diagnosis and treatment selection: A narrative review.

Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for ea...

Apr 2026 40353217
A unified model for staging amyloid and tau pathology in Alzheimer's disease

Biological staging models are a key tool for assessing the severity of Alzheimer's disease (AD), sup...

Deep representation learning for temporal inference in cancer omics: a systematic review

Deep learning methods, including deep representation learning (DRL) approaches such as variational a...

Physics-Embedded Feature Learning for AI in Medical Imaging

Deep learning (DL) models have achieved strong performance in an intelligence healthcare setting, ye...

3D-LLDM: Label-Guided 3D Latent Diffusion Model for Improving High-Resolution Synthetic MR Imaging in Hepatic Structure Segmentation

Deep learning and generative models are advancing rapidly, with synthetic data increasingly being in...

AI Generalisation Gap In Comorbid Sleep Disorder Staging

Accurate sleep staging is essential for diagnosing OSA and hypopnea in stroke patients. Although PSG...

An Explainable AI-Driven Framework for Automated Brain Tumor Segmentation Using an Attention-Enhanced U-Net

Computer-aided segmentation of brain tumors from MRI data is of crucial significance to clinical dec...

PGR-Net: Prior-Guided ROI Reasoning Network for Brain Tumor MRI Segmentation

Brain tumor MRI segmentation is essential for clinical diagnosis and treatment planning, enabling ac...

PPGL-Swarm: Integrated Multimodal Risk Stratification and Hereditary Syndrome Detection in Pheochromocytoma and Paraganglioma

Pheochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumors, of which 15-25% develop...

Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts

Brain tumor segmentation remains challenging because the three standard sub-regions, i.e., whole tum...

Enhancing Brain Tumor Classification Using Vision Transformers with Colormap-Based Feature Representation on BRISC2025 Dataset

Accurate classification of brain tumors from magnetic resonance imaging (MRI) plays a critical role ...

Hyper-Connections for Adaptive Multi-Modal MRI Brain Tumor Segmentation

We present the first study of Hyper-Connections (HC) for volumetric multi-modal brain tumor segmenta...

TuLaBM: Tumor-Biased Latent Bridge Matching for Contrast-Enhanced MRI Synthesis

Contrast-enhanced magnetic resonance imaging (CE-MRI) plays a crucial role in brain tumor assessment...

Spatio-temporal mapping of immune cell dynamics during human sequential lymph node metastasis

Regional lymph node (LN) metastasis critically influences distant metastatic progression, anti-tumou...

Metastable Neural Assemblies on a Wiring-Weight Continuum

Neural population activity typically evolves on low-dimensional manifolds and can be described as tr...

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