Latest AI and machine learning research in lung cancer for healthcare professionals.
: Early detection of oncological diseases such as pancreatic ductal adenocarcinoma (PDAC) and ovaria...
Lung cancer is a malignant tumor that poses a serious threat to human health. Existing lung cancer d...
Purpose To assess the agreement between routine-dose (RD) and lower-dose (LD) contrast-enhanced CT s...
Coronary CT angiography (CCTA) has been widely used as a noninvasive modality for accurate assessmen...
Lung cancer remains a leading cause of cancer-related mortality worldwide, emphasizing the critical ...
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with a five-yea...
RATIONALE AND OBJECTIVES: CT angiography (CTA) is a commonly used clinical examination to detect abn...
PURPOSE: Current guidelines for thyroid radiation dose prescription lack uniformity and fail to cons...
Hyperuricemia is a global health concern, with environmental chemicals as risk factors. This study u...
Accurate segmentation of lung tumors is essential for advancing personalized medicine in non-small c...
BACKGROUND AND PURPOSE: To conduct a systematic review and meta-analysis of the performance of radio...
Pancreatic ductal adenocarcinoma (PDA) is a highly metastatic and lethal disease. In PDA, extracellu...
OBJECTIVE: To evaluate the radiation and contrast dose reduction potential of combining 70 kV with d...
Artificial intelligence (AI) has gained significant attention in various scientific fields due to it...
BACKGROUND: In Pancreatic Ductal Adenocarcinoma (PDAC), current prognostic scores are unable to full...
Cone-beam computed tomography (CBCT) is widely used in dentistry, surgery, radiotherapy and other me...
Tumor-associated macrophages (TAMs) are a vital immune component within the tumor microenvironment (...
PURPOSE: Although radiotherapy (RT) is one of the primary treatment modalities used in the treatment...
This study presents a machine learning model to predict renal function decline following minimally-i...
Radiologists are witnessing astonishing innovation and advancement of CT technologies and their clin...
BACKGROUND: In order to meet the kinematic requirements of large range of motion, payload, and stiff...