Latest AI and machine learning research in lung cancer for healthcare professionals.
DNA double-strand breaks (DSBs) are the most lethal form of damage to cells from irradiation. γ-H2AX...
Background and objectives: This study aimed to evaluate the association between warm ischemic time (...
Reverse transcription-polymerase chain reaction is currently the gold standard in COVID-19 diagnosis...
OBJECTIVE: To explore the value of artificial intelligence (AI) film reading system based on deep le...
During x-ray-guided interventional procedures, the medical staff is exposed to scattered ionizing ra...
PURPOSE: Recent studies have shown that severe depletion of the absolute lymphocyte count (ALC) indu...
PURPOSE: Radiation dermatitis (RD) is a common, unpleasant side effect of patients receiving radiati...
PURPOSE: Image guidance is used to improve the accuracy of radiation therapy delivery but results in...
OBJECTIVE: To evaluate the feasibility of a simultaneous reduction of radiation and iodine doses in ...
BACKGROUND: Accurate and non-invasive diagnosis of pancreatic ductal adenocarcinoma (PDAC) and chron...
Switching from a three-drug regimen (3DR: boosted darunavir [bDRV] and two nucleoside reverse trans...
Higher capital costs and operating room costs associated with Lobectomy via Robot Assisted Thoracic ...
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...