Latest AI and machine learning research in lung cancer for healthcare professionals.
BACKGROUND: Radiation-induced esophagitis remains a significant challenge in thoracic and neck cance...
The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90...
PURPOSE: This study aims to develop an artificial intelligence model to predict severe radiation-ind...
Immunotherapy and chemoimmunotherapy are standard treatments for non-oncogene-addicted advanced non-...
PURPOSE: Prostate cancer (PCa) is the most frequently diagnosed malignancy among men in Germany. Adv...
BACKGROUND: Accurate preoperative prediction of spread through air spaces (STAS) in primary lung ade...
The choice of imaging modalities is essential in sarcoma management, as different techniques provide...
OBJECTIVES: The growing adoption of Large Language Models (LLMs) in medicine has raised important qu...
INTRODUCTION: Tumor-infiltrating B lymphocytes (TILBs) play a pivotal role in shaping the immune mic...
Colorectal cancer (CRC) ranks as the third most common and second deadliest cancer worldwide. The im...
Nanomaterials represent an innovation in cancer imaging by offering enhanced contrast, improved targ...
The American College of Veterinary Radiology (ACVR) and the European College of Veterinary Diagnosti...
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers known to humans. However, ...
BACKGROUND: The cytological diagnostic process of EUS-FNA smears is time-consuming and manpower-inte...
4D cone-beam computed tomography (CBCT) plays a critical role in adaptive radiation therapy for lung...
In Pancreatic Ductal Adenocarcinoma (PDAC), predicting genetic mutations directly from histopatholog...
PURPOSE: Patients with identical stages or similar tumor volumes can vary significantly in their res...
Prostate adenocarcinoma (PAC) is a complex and common cancer in males and is one of the leading caus...
PURPOSE: This study aimed to select robust features against lung motion in a phantom study and use t...
BACKGROUND: Early and accurate identification of epidermal growth factor receptor (EGFR) mutation st...
. X-ray computed tomography employing low-dose x-ray source is actively researched to reduce radiati...