Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Clinical workflows in oncology rely on predictive and prognostic molecular biomarkers. However, the ...
PURPOSE: Several biomarkers of response to immune checkpoint inhibitors (ICI) show potential but are...
Most models for predicting malignant pancreatic intraductal papillary mucinous neoplasms were develo...
BACKGROUND: The role of robot-assisted partial nephrectomy (RAPN) in the management of renal masses ...
BACKGROUND: The aim of this paper was to assess the feasibility of robot-assisted radical nephrectom...
Time-of-flight secondary ion mass spectrometry (TOF-SIMS) is an imaging-based analytical technique t...
Nanoparticles have the potential to modulate both the pharmacokinetic and pharmacodynamic profiles o...
Background CT deep learning reconstruction (DLR) algorithms have been developed to remove image nois...
Non-invasive ischemic cancer therapy requires reduced blood flow whereas drug delivery and radiation...
OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve B...
For newly diagnosed breast cancer, estrogen receptor status (ERS) is a key molecular marker used for...
Recent advances in artificial intelligence, particularly in the field of deep learning, have enabled...
PURPOSE: Contouring inconsistencies are known but understudied in clinical radiation therapy trials....
OBJECTIVE: Muscle atrophy is associated with autologous stem cell transplantation (ASCT)-related out...
OBJECTIVE: To assess the capacity of support vector machine (SVM) algorithms that are developed base...
The complexity of human cancer often results in significant heterogeneity in response to treatment. ...
A brain tumor is an uncontrolled growth of cancerous cells in the brain. Accurate segmentation and c...
There can be significant uncertainty when identifying cervical lymph node (LN) metastases in patient...
Positron emission tomography (PET)/computed tomography (CT) are nuclear diagnostic imaging modalitie...
Artificial intelligence (AI) has recently attracted much attention for its potential use in healthca...
Image-guided surgery (IGS) allows for accurate, real-time localization of subsurface critical struc...