Latest AI and machine learning research in lung cancer for healthcare professionals.
OBJECTIVE: To compare long-term oncologic outcomes in patients with clinically uterine-confined endo...
Occult nodal metastasis (ONM) plays a significant role in comprehensive treatments of non-small cell...
RATIONALE AND OBJECTIVES: This study aimed to develop and evaluate a radiomics-based model combined ...
BACKGROUND: Sublobar resection is strongly associated with poor prognosis in early-stage lung adenoc...
SIGNIFICANCE: Interventional cardiac procedures often require ionizing radiation to guide cardiac ca...
Although many patients who receive definitive radiotherapy (RT) for localised prostate cancer (CaP) ...
BACKGROUND: The precise prediction of epidermal growth factor receptor (EGFR) mutation status and gr...
PURPOSE: Artificial intelligence (AI)-based autocontouring in radiation oncology has potential benef...
PURPOSE: Technological progress of machine learning and natural language processing has led to the d...
PURPOSE: The purpose of this study was to develop a model for predicting chemoradiation response in ...
PURPOSE: The emerging online adaptive radiation therapy (OART) treatment strategy based on cone beam...
PURPOSE: Chat Generative Pre-Trained Transformer (ChatGPT), an artificial intelligence program that ...
Microplastics (MPs) and nanoplastics (NPs) are global pollutants with emerging concerns. Methods to ...
As artificial intelligence (AI) is increasingly integrated in healthcare, it is incumbent on healthc...
Ulcerative colitis (UC) is an intractable disease that affects young adults. Histological findings a...
PURPOSE: To develop deep learning models using thoracoscopic images to identify visceral pleural inv...
OBJECTIVES: To develop and validate CT-based deep learning (DL) models that learn morphological and ...
BACKGROUND AND OBJECTIVE: The early diagnosis of Non-small cell lung cancer (NSCLC) is of prime impo...
PURPOSE: Meticulous manual delineations of the prostate and the surrounding organs at risk are neces...
We developed a 3D convolutional neural network (CNN)-based automatic kidney segmentation method for ...
OBJECTIVE: Existing approaches for assessing surgical performance are subjective and prone to bias. ...