Latest AI and machine learning research in lung cancer for healthcare professionals.
BACKGROUND: With the rising incidence of pulmonary nodules (PNs), lung adenocarcinoma in situ (AIS) ...
INTRODUCTION: Lung cancer is a leading cause of cancer-related deaths, with its incidence continuing...
Early detection is crucial for improving survival rates of pancreatic ductal adenocarcinoma (PDA), y...
PURPOSE: To evaluate the value of pre-treatment MRI-based radiomics in patients with hepatocellular ...
BACKGROUND: Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer mortality worl...
Breast cancer, the second most prevalent cancer among women worldwide, necessitates the exploration ...
Pancreatic ductal adenocarcinoma (PDAC) is recognized for its aggressive nature, dismal prognosis, a...
The SINFONIA project's main objective is to develop novel methodologies and tools that will provide ...
Radiation dose and image quality in radiology are influenced by the X-ray prime factors: KVp, mAs, a...
INTRODUCTION: Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a rel...
Breast cancer is a prominent cause of death among women worldwide. Infrared thermography, due to its...
PURPOSE: Magnetic resonance (MR)-guided radiation therapy enables online adaptation to address intra...
BACKGROUND AND PURPOSE: Radiotherapy (RT) in non-small cell lung cancer (NSCLC) can induce cardiac a...
BACKGROUND: The solid pattern is a highly malignant subtype of lung adenocarcinoma. In the current e...
BACKGROUND: Lymph node metastasis (LNM) plays a crucial role in the management of lung cancer; howev...
To develop and evaluate a 3D Prompt-ResUNet module that utilized the prompt-based model combined wit...
The aim of our study was to develop robust diagnostic and prognostic models for lung adenocarcinoma ...
PURPOSE: Recent papers suggested a correlation between the risk of distant metastasis (DM) and dose ...
BACKGROUND: The optimal number of lymph nodes to be dissected during lung cancer surgery to minimise...
BACKGROUND AND PURPOSE: During the ESTRO 2023 physics workshop on "AI for the fully automated radiot...
RATIONALE AND OBJECTIVES: This study evaluated the performance of super-resolution deep learning-bas...