Latest AI and machine learning research in lung cancer for healthcare professionals.
This study offers a detailed exploration of lung adenocarcinoma (LUAD), addressing its heterogeneity...
BACKGROUND: The most recent advances in Computed Tomography (CT) image reconstruction technology are...
OBJECTIVE: To explore the value of six machine learning models based on PET/CT radiomics combined wi...
Cervical cancer is one of the most common malignant tumors among women, and its pathological change ...
The prognosis of lung adenocarcinoma (LUAD) is generally poor. Immunotherapy has emerged as a promis...
BACKGROUND: Positron emission tomography (PET) is extensively employed for diagnosing and staging va...
OBJECTIVE: We developed a deep learning model for distinguishing radiation therapy (RT)-related chan...
Lung adenocarcinoma (LUAD) is the most common primary lung cancer and accounts for 40% of all lung c...
BACKGROUND: Brain metastasis (BM) is common in lung adenocarcinoma (LUAD) and has a poor prognosis, ...
. X-ray computed tomography employing sparse projection views has emerged as a contemporary techniqu...
OBJECTIVES: Comprehensive cross-interaction of multiple programmed cell death (PCD) patterns in the ...
Robot-assisted partial nephrectomy (RAPN) has been shown to be a safe and effective method for treat...
PURPOSE: The dose deposited outside of the treatment field during external photon beam radiation the...
OBJECTIVES: Screening for pancreatic ductal adenocarcinoma (PDAC) is considered in high-risk individ...
Neoadjuvant chemoimmunotherapy has revolutionized the therapeutic strategy for non-small cell lung c...
BACKGROUND: Noninvasively and accurately predicting subcarinal lymph node metastasis (SLNM) for pati...
Neutrophil extracellular traps (NETs) are novel inflammatory cell death in neutrophils. Emerging stu...
PURPOSE: To investigate the value of a computed tomography (CT)-based deep learning (DL) model to pr...
In recent years, with the development of artificial intelligence, deep learning has been gradually a...
BACKGROUND: In radiotherapy, real-time tumor tracking can verify tumor position during beam delivery...
OBJECTIVE: This study aims to examine the ability of deep learning (DL)-derived imaging features for...