Latest AI and machine learning research in lung cancer for healthcare professionals.
Pancreatic ductal adenocarcinoma (PDAC) is a formidable challenge in modern medicine, characterized ...
Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements...
OBJECTIVE: Accurate segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding anatomic...
BACKGROUND: To establish the most effective and safe pre-transcatheter aortic valve implantation (TA...
INTRODUCTION: The integration of artificial intelligence (AI) into medical radiation science (MRS) e...
Controlled outcome assessment of radiotherapy for primary renal cell carcinoma (RCC) remains limited...
This study evaluates the potential of oral rinse-derived and plasma circulating tumour DNA (ctDNA) i...
PURPOSE: Lattice radiation therapy (LRT) is a form of spatially fractionated radiation therapy that ...
OBJECTIVES: To develop a deep learning (DL) model for predicting disease-free survival (DFS) in clin...
Patient outcomes are significantly impacted by the effectiveness and quality of radiation treatment ...
Artificial intelligence models with biomarkers to predict treatment responses to radiation would be ...
PURPOSE: Patients with head and neck cancer undergoing radiation therapy (RT) may experience pronoun...
Immune checkpoint inhibitors (ICIs) demonstrate substantial interpatient variability in clinical eff...
The high-resolution three-dimensional (3D) images generated with digital breast tomosynthesis (DBT) ...
The rapid decline of kidney function in middle-aged and elderly people has become an increasingly se...
Small-molecule drugs play a critical role in cancer therapy by selectively targeting key signaling p...
Cancer is among the most dangerous diseases contributing to rising global mortality rates. Lung canc...
Cancer continues to be a significant international health issue, which demands the invention of new ...
Endometrial adenocarcinoma carries a bleak prognosis, and the molecular markers that evaluate the pr...
BACKGROUND: Accurate preoperative prediction of major pathological response or pathological complete...
This study presents a hybrid computational investigation into the radiation shielding behavior of Fe...