Latest AI and machine learning research in lung cancer for healthcare professionals.
AIM: To develop a deep-learning model using contrast-enhanced chest computed tomography (CT) images ...
Protein mutation detection using liquid biopsy can be simply performed periodically, making it easy ...
To compare perioperative outcomes following robot-assisted partial nephrectomy (RAPN) in patients wi...
BACKGROUND: Radiotherapy (RT) is involved in about 50% of all cancer patients, making it a very impo...
We aimed to evaluate the renoprotective effects of remote ischemic preconditioning (RIPC) in patient...
Coronary computed tomography angiography (CCTA) is a medical imaging technique that produces detaile...
Deep learning (DL) models for radiation therapy (RT) image segmentation require accurately annotated...
BACKGROUND: This study leverages a large retrospective cohort of head and neck cancer patients in or...
Although programmed death-(ligand) 1 (PD-(L)1) inhibitors are marked by durable efficacy in patients...
PURPOSE: We previously developed a virtual treatment planner (VTP), an artificial intelligence robot...
The detection of tumour gene mutations by DNA or RNA sequencing is crucial for the prescription of e...
RATIONALE AND OBJECTIVES: To develop an end-to-end deep learning (DL) model for non-invasively predi...
. Using MV images for real-time image guided radiation therapy (IGRT) is ideal as it does not requir...
. Radiation therapy for head and neck (H&N) cancer relies on accurate segmentation of the primary tu...
BACKGROUND: Patients with prostate cancer are offered a wide range of treatments from radiation ther...
The past two decades have seen a significant increase in the use of CT, with a corresponding rise in...
AIMS: Classification of histological patterns in lung adenocarcinoma (LUAD) is critical for clinical...
BACKGROUND: Using radiation therapy (RT) to treat head and neck (H&N) cancers requires precise targe...
Cervical cancer is the most common reproductive malignancy in the female reproductive system. The in...
Cone-beam computed tomography (CBCT) produces high-resolution of hard tissue even in small voxel siz...
BACKGROUND: The aim was to develop a personalized survival prediction deep learning model for cervic...