Latest AI and machine learning research in lung cancer for healthcare professionals.
IMPORTANCE: Like other clinical biomarkers, trajectories of estimated glomerular filtration rate (eG...
PURPOSE: Applications of deep learning (DL) are essential to realizing an effective adaptive radioth...
The explosive rise of the use of Computer tomography (CT) imaging in medical practice has heightened...
Robot-assisted radical cystectomy (RARC) is replacing open radical cystectomy (ORC) and requires cla...
An esophageal cancer intelligent diagnosis system is developed to improve the recognition rate of es...
Concerns over need for CT radiation dose optimization and reduction led to improved scanner efficien...
Subramanian Kannan Serum thyroglobulin (Tg) and thyroglobulin antibody (TgAb) levels are used to mon...
BACKGROUND: Rapid intraoperative diagnosis for unconfirmed pulmonary tumor is extremely important fo...
OBJECTIVES: Because radiotherapy is indispensible for treating cervical cancer, it is critical to ac...
Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric c...
OBJECTIVES: Deep-learning image reconstruction (DLIR) offers unique opportunities for reducing image...
PURPOSE: Concern about a long-term effect of the delivery of intensity modulated radiation therapy (...
AIMS: Immunohistochemical programmed death-ligand 1 (PD-L1) staining to predict responsiveness to im...
In order to evaluate the postoperative nursing effect of artificial intelligence robot-assisted thor...
OBJECTIVE: To develop and validate a deep learning nomogram (DLN) model constructed from non-contras...
PURPOSE: Ultrasound (US) imaging is an established imaging modality capable of offering video-rate v...
Deep learning (DL) is a breakthrough technology for medical imaging with high sample size requiremen...
PURPOSE: We develop a deep learning (DL) radiomics model and integrate it with circulating tumor cel...
Modern technologies designed for tissue structure visualization like brightfield microscopy, fluores...
PURPOSE: This study aimed to explore the predictive ability of deep learning (DL) for the common epi...
PURPOSE: To investigate multiple deep learning methods for automated segmentation (auto-segmentation...