Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Background. Gadolinium-based contrast agents remain essential for MRI but carry risks. Deep learning...
In proton beam therapy (PBT) for hepatocellular carcinoma (HCC), deep learning (DL)-based dose predi...
INTRODUCTION: Artificial intelligence (AI) is reshaping diagnostic paradigms across oncology. In oph...
Purpose To develop a deep learning model that automatically delineates the eight liver Couinaud segm...
Activated cancer-associated fibroblasts (aCAFs), characterized by distinct histological features inc...
PURPOSE: This study aimed to evaluate the concordance between treatment recommendations generated by...
OBJECTIVES: To develop a random survival forest (RSF) machine learning (ML) model for predicting ven...
BackgroundPeople living with dementia (PLWD) with advanced illness are prone to respiratory distress...
To evaluate the diagnostic proficiency of well-established multimodal Large Language Models (LLMs)-s...
This invited commentary grew out of a presentation made at the 2025 ConRad Meeting in Munich, German...
Positron emission tomography (PET) has been used in pediatric oncology since the modality gained tra...
OBJECTIVES: To investigate mammographic features associated with high artificial intelligence (AI) r...
Uveal melanoma (UVM) is an aggressive intraocular malignancy with a high risk of metastasis but few ...
Molecular testing can refine the prediction of cancer recurrence. We sought to compare patterns of g...
Multicellular programs in the tumour microenvironment (TME) drive cancer pathogenesis and response t...
The high cost and attrition rate of drug development underscore the need for more effective strategi...
Human T-lymphotropic virus type 1 (HTLV-1) is the first discovered human oncogenic retrovirus that c...
OBJECTIVE: To address the critical issue of compromised image quality and diagnostic accuracy in low...
Circulating tumour cells (CTC) are rare cells shed from primary and metastatic tumours into the bloo...
Treatment outcome prediction plays an important role in realizing personalized cancer therapy. In tr...
INTRODUCTION: Renal cell carcinoma (RCC) most commonly metastasizes to the lungs and shares risk fac...