Latest AI and machine learning research in lung cancer for healthcare professionals.
PURPOSE: This study aims to develop a deep learning method that skips the time-consuming inverse opt...
BACKGROUND: We collected information on patients with rectal adenocarcinoma in the United States fro...
In radiation oncology, predicting patient risk stratification allows specialization of therapy inten...
Deep learning-based reconstruction (DLR) may facilitate CT radiation dose reduction, but a paucity ...
Fully automated and volumetric segmentation of critical tumors may play a crucial role in diagnosis ...
BACKGROUND: Radiation treatment is considered an effective and the most common treatment option for ...
Early detection and mitigation of disease recurrence in non-small cell lung cancer (NSCLC) patients ...
Gastric cancer possesses great histological and molecular diversity, which creates obstacles for rap...
To overcome the need of the world for energy consumption, we have to find some better and stable alt...
Delineation of relevant normal tissues is a bottleneck in image-guided precision radiotherapy workfl...
BACKGROUND: This study compares the short- and long-term outcomes of open vs robotic vs video-assist...
PURPOSE: To assess the effects of deep learning image reconstruction (DLIR) and hybrid iterative rec...
BACKGROUND: Artificial intelligence (AI) shows great potential to streamline the treatment planning ...
PURPOSE: Non-small cell lung cancer (NSCLC) tends to metastasize to the brain. Between 10 and 60% of...
Identifying the lung carcinoma subtype in small biopsy specimens is an important part of determining...
BACKGROUND: The evaluation of automatic segmentation algorithms is commonly performed using geometri...
BACKGROUND: Previous studies have revealed that chronic kidney disease (CKD) is a significant risk f...
OBJECTIVES: This study aimed to investigate the impact of a deep learning-based reconstruction (DLR)...
X-ray imaging is a widely used approach to view the internal structure of a subject for clinical dia...
PURPOSE: For pancreatic cancer patients, image guided radiation therapy and real-time tumor tracking...
OBJECTIVES: To compare the image quality and radiation dose of a deep learning image reconstruction ...