Latest AI and machine learning research in oncology/hematology for healthcare professionals.
PURPOSE: To evaluate the dosimetric and image-guided radiation therapy (IGRT) performance of a novel...
OBJECTIVES: To train a deep learning model to differentiate between pathologically proven hepatocell...
To evaluate the outcomes of robot-assisted partial nephrectomy (RAPN) in cystic renal tumors. We r...
The functional and oncologic outcomes of robot-assisted radical prostatectomy (RARP) in octogenaria...
For patients with clinically localized renal masses, positive surgical margins (PSMs) after robotic...
In coeliac disease (CeD), immune-mediated small intestinal damage is precipitated by gluten, leading...
BACKGROUND: Accurate prediction of binding between class I human leukocyte antigen (HLA) and neoepit...
A brain tumor is an uncontrolled development of brain cells in brain cancer if not detected at an ea...
The objective of this study is to evaluate the perioperative and long-term outcomes of robot-assiste...
IMPORTANCE: Occult peritoneal metastasis frequently occurs in patients with advanced gastric cancer ...
OBJECTIVES: We evaluated lower dose (LD) hepatic dynamic ultra-high-resolution computed tomography (...
This study aimed to use computed tomography (CT) images to assess PD-L1 expression in non-small cel...
Artificial intelligence can facilitate clinical decision making by considering massive amounts of me...
Platinum-based chemotherapy is one of treatment mainstay for patients with advanced lung squamous c...
To compare perioperative, functional, and oncologic outcomes between robot-assisted partial nephrec...
BACKGROUND: Neoadjuvant therapy may improve survival of patients with pancreatic adenocarcinoma; how...
Percutaneous thermal ablation is a validated treatment option for small hepatocellular carcinoma (HC...
Autofluorescence microscopy is a promising label-free approach to characterize NADH and FAD metaboli...
A fluorescent aptasensor based on porphyrin-based covalent organic framework (p-COF) and carbon dots...
BACKGROUND: Personalized cancer vaccines are emerging as one of the most promising approaches to imm...
PURPOSE: The role of tumor-infiltrating lymphocytes (TILs) in predicting lymph node metastasis (LNM)...