Latest AI and machine learning research in other cancers for healthcare professionals.
Background Patterns of metastasis in cancer are increasingly relevant to prognostication and treatme...
PURPOSE: Manual delineation of a rectal tumor on a volumetric image is time-consuming and subjective...
The precise prediction of acute kidney injury (AKI) after nephrectomy for renal cell carcinoma (RCC)...
A better understanding of the tumor immune microenvironment (TIME) could lead to accurate diagnosis,...
Modern imaging procedures, including CT and MR diagnostics, play a significant role in recognizing, ...
In psychiatry, compared to other medical fields, the identification of biological markers that would...
Cancer is one of the leading causes of death worldwide. Conventional cancer treatment relies on radi...
BACKGROUND: Computed tomography (CT) reports record a large volume of valuable information about pat...
Few reports have demonstrated robotic surgery for large tumors in the upper esophagus. We report a c...
This study enumerates the quantitative measurement of optical parameters used in several diagnostic ...
BACKGROUND: Current risk stratification for patients with malignant pleural mesothelioma based on di...
In this work, we develop a deep learning-guided fiberoptic Raman diagnostic platform to assess its a...
We performed test clamp procedure in robot-assisted partial nephrectomy (RAPN) to prevent massive bl...
PURPOSE: To utilize a neural architecture search (NAS) approach to develop a convolutional neural ne...
Traditional sleep staging with non-overlapping 30-second epochs overlooks multiple sleep-wake transi...
Recently, an emerging trend in medical image classification is to combine radiomics framework with d...
Cancers of unknown primary (CUP) are metastatic cancers for which the primary tumor is not found des...
BACKGROUND: To evaluate the performance of a decision support system (DSS) based on radiomics and ma...
There was an investigation of the auxiliary role of convolutional neural network- (CNN-) based magne...
Lung cancer is one of the most common and deadly malignant cancers. Accurate lung tumor segmentation...
Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (...