Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Lung adenocarcinoma (LUAD) is a morphologically heterogeneous disease with five predominant histolog...
Recent advances in MRI-guided radiation therapy (MRgRT) and deep learning techniques encourage fully...
Discovery of epitope-specific T-cell receptors (TCRs) for cancer therapies is a time consuming and e...
AIMS: An increase in the demand of a new generation of radiotherapy planning systems based on learni...
Microscopic evaluation of glands in the colon is of utmost importance in the diagnosis of inflammato...
BACKGROUND: Odontogenic tumors (OT) are composed of heterogeneous lesions, which can be benign or ma...
AIMS: The International Medullary Thyroid Carcinoma Grading System, introduced in 2022, mandates eva...
OBJECTIVES: Accuracy in the detection of recurrent nasopharyngeal carcinoma (NPC) on follow-up magne...
PURPOSE: To investigate the image quality and diagnostic performance of low-contrast-dose liver CT u...
OBJECTIVES: Natural language processing (NLP) algorithms can interpret unstructured text for commonl...
OBJECTIVE: The treatment with Lutetium PSMA (Lu-PSMA) in patients with metastatic castration-resista...
OBJECTIVES: The aim of the study is 18F-FDG PET/CT imaging by using deep learning method are predict...
PURPOSE: Due to significant growth in the volume of information produced by cancer research, staying...
BACKGROUND: In the Danish Head and Neck Cancer Group (DAHANCA) 35 trial, patients are selected for p...
BACKGROUND: We aimed to establish image recognition and survival prediction models using a novel sco...
BACKGROUND: T-cells play a crucial role in the adaptive immune system by triggering responses agains...
High-grade serous ovarian cancer is the most lethal gynaecological malignancy. Detailed molecular st...
AIM: Gastric cancer (GC) is a tumour entity with highly variant outcomes. Lymph node metastasis is a...
OBJECTIVES: The CyberKnife system is a robotic radiosurgery platform that allows the delivery of lun...
OBJECTIVE: Few studies have explored the clinical feasibility of using deep-learning reconstruction ...
BACKGROUND: The significance of liver metastasis (LM) in increasing the risk of death for postoperat...