Latest AI and machine learning research in oncology/hematology for healthcare professionals.
a well-known traditional medicinal plant which is used to alleviate various kinds of diseases in As...
Active surveillance (AS), radical prostatectomy (RP), and radical radiotherapy (RT) are the three op...
Two tumor (Classical/Basal) and stroma (Inactive/active) subtypes of Pancreatic adenocarcinoma (PDAC...
BACKGROUND: The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA) was developed...
BACKGROUND: Cell-cell communication in a tumor microenvironment is vital to tumorigenesis, tumor pro...
Liver disease is a potentially asymptomatic clinical entity that may progress to patient death. This...
Mid-infrared spectroscopic imaging (MIRSI) is an emerging class of label-free techniques being lever...
Determining the optimal course of treatment for low grade glioma (LGG) patients is challenging and f...
Microscopic examination of prostate cancer has failed to reveal a reproducible association between m...
The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high accu...
Artificial intelligence (AI) applications have enabled remarkable advancements in healthcare deliver...
The advance of sequencing technologies has enabled a thorough molecular characterization of the geno...
MicroRNAs have a significant role in the emergence of various human disorders. Consequently, it is e...
PURPOSE: To evaluate the feasibility and safety of robot-assisted transarterial chemoembolization (T...
INTRODUCTION: In 2015, our university hospital pharmacy acquired the PharmaHelp robot system to auto...
OBJECTIVES: This study proposes and evaluates a deep learning method to detect pancreatic neoplasms ...
BACKGROUND: Deformable Image Registration (DIR) is an essential technique required in many applicati...
INTRODUCTION: Several studies have emphasized the potential of artificial intelligence (AI) and its ...
Angiogenic proteins (AGPs) play a primary role in the formation of new blood vessels from pre-existi...
To investigate whether the combination scheme of deep learning score (DL-score) and radiomics can im...
BACKGROUND: Facing the 0.7-22% incidence rate of hepatocellular carcinoma (HCC) with inferior vena c...