Latest AI and machine learning research in lung cancer for healthcare professionals.
Recent advances in MRI-guided radiation therapy (MRgRT) and deep learning techniques encourage fully...
AIMS: An increase in the demand of a new generation of radiotherapy planning systems based on learni...
Microscopic evaluation of glands in the colon is of utmost importance in the diagnosis of inflammato...
OBJECTIVE: Few studies have explored the clinical feasibility of using deep-learning reconstruction ...
Pathogenic organisms utilize iron to survive and replicate and have evolved many processes to extra...
The aim is to support the perception of artificial intelligence in the radiation therapy landscape.
PURPOSE: Deep learning reconstruction (DLR) has been recommended as useful for improving image quali...
Motion compensation in radiation therapy is a challenging scenario that requires estimating and fore...
We developed a deep learning framework to accurately predict the lymph node status of patients with ...
PURPOSE: The purpose of this study was to create and evaluate deep learning-based models to detect a...
PURPOSE: Radiation Oncology Learning Health System (RO-LHS) is a promising approach to improve the q...
An accurate prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADP...
Recent advances in artificial intelligence (AI), such as generative AI and large language models (LL...
To evaluate the outcomes of robot-assisted partial nephrectomy (RAPN) for solid and cystic renal tum...
PURPOSE: Radiation therapy is widely used to treat head and neck squamous cell carcinoma (HNSCC). Th...
Artificial intelligence (AI) is developing rapidly and has found widespread applications in medicine...
OBJECTIVES: Cardiac computed tomography (CT) is essential in diagnosing coronary heart disease. Howe...
Dedicated MR imaging is highly performant for the evaluation of the primary lesion and should regula...
INTRODUCTION: Robot-assisted thoracic surgery (RATS) is a rapidly expanding technique. In our study,...
The histopathologic distinction of lung adenocarcinoma (LADC) subtypes is subject to high interobser...
Machine learning applied to digital pathology has been increasingly used to assess kidney function a...