Latest AI and machine learning research in lung cancer for healthcare professionals.
Without doubt, artificial intelligence (AI) is the most discussed topic today in medical imaging res...
Artificial intelligence demonstrated its value for automated contouring of organs at risk and target...
BACKGROUND: The spatial distributions of different types of cells could reveal a cancer cell's growt...
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is t...
Wetlands are extraordinary ecosystems and important climate regulators that also contribute to reduc...
PURPOSE: Acute ischemic stroke is one of the most causes of death all over the world. Onset to treat...
Tomographic imaging using penetrating waves generates cross-sectional views of the internal anatomy ...
Triple-negative breast cancer (TNBC), colon adenocarcinoma (COAD), ovarian cancer (OV), and glioblas...
INTRODUCTION: Adequate head and neck (HN) organ-at-risk (OAR) delineation is crucial for HN radiothe...
INTRODUCTION: The cardiac radiation dose is an important predictor of cardiac toxicity and overall s...
Innovations in artificial intelligence (AI) are driving a new industrial revolution, and as a result...
Artificial intelligence is a highly polysemic term. In computer science, with the objective of being...
BACKGROUND: To develop a supervised machine learning (ML) algorithm predicting above- versus below-m...
In cancer radiation therapy, large tumor motion due to respiration can lead to uncertainties in tumo...
PURPOSE: To report on the use of outpatient anesthesia (OPA) facilitating delivery of stereotactic b...
There is no escaping the fact that academics are devoting unrelenting attention to the impact artifi...
BACKGROUND AND OBJECTIVE: X-ray computed tomography (CT) plays an important role in modern medical s...
An important aspect of robotic radiation therapy is active compensation of target motion. Recently, ...
Uterine cancer (also known as endometrial cancer) can seriously affect the female reproductive syste...
Background Direct intraindividual comparison of dynamic CT myocardial perfusion imaging (MPI) and ma...
Investigate 3D (spatial and temporal) convolutional neural networks (CNNs) for real-time on-the-fly ...