Latest AI and machine learning research in oncology/hematology for healthcare professionals.
The use of MRI radiomic models for the diagnosis, prognosis and treatment response prediction of tum...
A proactive approach to detecting cancer at an early stage can make treatments more effective, with ...
Recently, cytoreductive prostatectomy for metastatic prostate cancer (mPCa) has been associated with...
Brain cancer is one of the cell synthesis diseases. Brain cancer cells are analyzed for patient diag...
Complete mesocolic excision (CME) in right-sided colon cancers appears to confer oncological benefit...
OBJECTIVE: The feasibility of tracer production of technetium (Tc)-prostate-specific membrane antige...
This paper proposes a rapid, label-free, and non-invasive approach for identifying murine cancer cel...
In this study, we developed a deep learning model to identify patients with tongue cancer based on a...
Automated classification and detection of brain abnormalities like a tumor(s) in reconstructed micro...
Hepatocellular carcinomas (HCCs) are aggressive tumors with a poor prognosis. Approved first-line tr...
BACKGROUND: Artificial intelligence using computer-aided diagnosis (CADx) in real time with images a...
Multiple novel modalities tasking artificial intelligence based computational pathology applications...
The COVID-19 pandemic repeatedly overwhelms healthcare systems capacity and forced the development a...
Background Deep learning (DL) algorithms could improve the classification of ovarian tumors assessed...
This paper proposes a time-series deep-learning 3D Kinect camera scheme to classify the respiratory ...
OBJECTIVES: To develop and validate machine learning models to distinguish between benign and malign...
OBJECTIVES: To develop and evaluate a deep learning-based algorithm (DLA) for automatic detection of...
Previous studies on deep learning (DL) applications in pathology have focused on pathologist-versus-...
Coronavirus disease-2019 (COVID-19) is a new types of coronavirus which have turned into a pandemic ...
Our aim is to define the capabilities of radiomics and machine learning in predicting pseudoprogress...
BACKGROUND: Describe and evaluate the methodological conduct of prognostic prediction models develop...