Latest AI and machine learning research in lung cancer for healthcare professionals.
BACKGROUND: Neoadjuvant therapy may improve survival of patients with pancreatic adenocarcinoma; how...
BACKGROUND: The estimated glomerular filtration rate (eGFR) is a biomarker not only for kidney funct...
Chronic obstructive pulmonary disease (COPD) is a common lung disease, and quantitative CT-based bro...
Accurate and efficient dose calculation is an important prerequisite to ensure the success of radiat...
PURPOSE: The purpose of this study was to develop automated planning for whole-brain radiation thera...
Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-t...
An important need exists for reliable positron emission tomography (PET) tumor-segmentation methods ...
Precise biomarker development is a key step in disease management. However, most of the published bi...
To report trifecta outcomes of our "off-clamp" partial nephrectomy (PN) patients operated without m...
: To evaluate the oncological outcome at 5-year follow-up after laparoscopic cryoablation (LCA) for ...
Automatic sigmoid colon segmentation in CT for radiotherapy treatment planning is challenging due to...
BACKGROUND: Artificial Intelligence (AI) is making a continuous progression into the field of Radiat...
Cone-beam scanners (CBCT) enable CT to be performed under weight-bearing - notably for the foot and ...
Classifying ground-glass lung nodules (GGNs) into atypical adenomatous hyperplasia (AAH), adenocarci...
Lung cancer is a prominent type of cancer, which leads to high mortality rate worldwide. The major l...
Histopathological images are a rich but incompletely explored data type for studying cancer. Manual ...
The composition and relative abundances of immune cells in the tumor microenvironment are key factor...
The hypothesis that destructive mass extinctions enable creative evolutionary radiations (creative d...
IMPORTANCE: An end-to-end efficacy evaluation approach for identifying progression risk after epider...
We present comboFM, a machine learning framework for predicting the responses of drug combinations i...
BACKGROUND: Diabetic retinopathy and kidney disease share underlying mechanisms of microvascular dam...