Latest AI and machine learning research in lung cancer for healthcare professionals.
This study aimed to evaluate the impact of radiation dose and focal spot size on the image quality o...
Organ segmentation has become a preliminary task for computer-aided intervention, diagnosis, radiati...
Synthetic computed tomography (sCT) generated from magnetic resonance imaging (MRI) can serve as a s...
BACKGROUND: Non-small cell lung cancer (NSCLC) is a prevalent and heterogeneous disease with signifi...
PURPOSE: Commercial vendors have created artificial intelligence (AI) tools for use in all aspects o...
Non-small cell lung carcinoma (NSCLC) is the most common type of pulmonary cancer, one of the deadli...
This study aims to develop a CT-based hybrid deep learning network to predict pathological subtypes ...
Accurate assessment of epidermal growth factor receptor (EGFR) mutation status and subtype is critic...
OBJECTIVE: The co-occurrence of kidney disease in patients with type 2 diabetes (T2D) is a major pub...
Even though artificial intelligence and machine learning have demonstrated remarkable performances i...
Deep learning image reconstruction (DLIR) algorithms employ convolutional neural networks (CNNs) for...
RATIONALE AND OBJECTIVES: Lymphovascular invasion (LVI) plays a significant role in precise treatmen...
BACKGROUND: Living kidney donors are screened pre-donation to estimate the risk of end-stage kidney ...
BACKGROUND: Efficient and precise diagnosis of non-small cell lung cancer (NSCLC) is quite critical ...
BACKGROUND: The non-invasive biomarkers for predicting immunotherapy response are urgently needed to...
BACKGROUND AND PURPOSE: Artificial Intelligence (AI) models in radiation therapy are being developed...
Noninvasively and accurately predicting the epidermal growth factor receptor (EGFR) mutation status ...
Histopathological assessment of esophageal biopsies is a key part in the management of patients with...
PURPOSE: Radiation-induced lymphopenia (RIL) is common among patients undergoing radiation therapy (...
PURPOSE: Cardiac substructure dose metrics are more strongly linked to late cardiac morbidities than...
OBJECTIVES: At present, there are many limitations in the evaluation of lymph node metastasis of lun...