Oncology/Hematology

Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets.

Accurate detection of brain tumors remains a significant challenge due to the diversity of tumor typ...

BCDCNN: breast cancer deep convolutional neural network for breast cancer detection using MRI images.

Breast cancer (BC) is a kind of cancer that is created from the cells in breast tissue. This is a pr...

Enhancing B-mode-based breast cancer diagnosis via cross-attention fusion of H-scan and Nakagami imaging with multi-CAM-QUS-driven XAI.

OBJECTIVE: B-mode ultrasound is widely employed for breast lesion diagnosis due to its affordability...

Development and validation of a transformer-based deep learning model for predicting distant metastasis in non-small cell lung cancer using FDG PET/CT images.

BACKGROUND: This study aimed to develop and validate a hybrid deep learning (DL) model that integrat...

Integrating mHealth Innovations into Decentralized Oncology Trials.

The integration of mobile health (mHealth) technologies into decentralized clinical trials (DCTs) ma...

MRI-based radiomics for preoperative T-staging of rectal cancer: a retrospective analysis.

PUROPOSE: Preoperative T-staging in rectal cancer is essential for treatment planning, yet conventio...

Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping of pancreatic cancer.

Pancreatic cancer (PC) is a highly aggressive malignancy in humans, where early diagnosis significan...

Nanozymes in Oral Medicine: From Catalytic Design to Advanced Dental Therapies.

Nanozymes have garnered increasing attention in oral healthcare due to their enzyme-mimetic properti...

The Effectiveness and Feasibility of Conversational Agents in Supporting Care for Patients With Cancer: Systematic Review and Meta-Analysis.

BACKGROUND: Patients with cancer experience complex physical, psychosocial, and behavioral challenge...

Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques.

Skin cancer, especially melanoma, has become one of the most widespread and deadly diseases today. T...

Network-based approach identifies key genes associated with tumor heterogeneity in HPV positive and negative head and neck cancer patients.

Head and Neck Squamous Cell Carcinoma (HNSCC) is the seventh most prevalent cancer worldwide and is ...

Integrative analysis identifies FBXO5 as a critical mediator of CRPC progression and bone metastatic potential.

INTRODUCTION: Castration-resistant prostate cancer (CRPC) poses a major clinical challenge due to it...

Novel radiotherapy target definition using AI-driven predictions of glioblastoma recurrence from metabolic and diffusion MRI.

The current standard-of-care (SOC) practice for defining the clinical target volume (CTV) for radiat...

Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.

Squamous cell carcinoma (SCC) and high-grade dysplasia (HGD) are two different pathological entities...

Multi-module UNet++ for colon cancer histopathological image segmentation.

In the pathological diagnosis of colorectal cancer, the precise segmentation of glandular and cellul...

Machine learning derived development and validation of extracellular matrix related signature for predicting prognosis in adolescents and young adults glioma.

The mortality rates have been increasing for glioma in adolescents and young adults (AYAs, aged 15-3...

Response Assessment in Hepatocellular Carcinoma: A Primer for Radiologists.

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, necess...

Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma.

Epigenetic mechanisms play a crucial role in driving transcript expression and shaping the phenotypi...

Navigating the digital health landscape from artificial intelligence-driven molecular subtyping towards optimized rare sarcoma trial design.

Development and evaluation of large-language models (LLMs) for oncology: A scoping review.

Large language models (LLMs), a significant development in artificial intelligence (AI), are continu...

Renji endoscopic submucosal dissection video data set for colorectal neoplastic lesions.

Artificial intelligence advancements have significantly enhanced computer-aided intervention, learni...