Latest AI and machine learning research in other cancers for healthcare professionals.
Individualized patient profiling is instrumental for personalized management in hepatocellular carc...
Every year cervical cancer affects more than 300,000 people, and on average one woman is diagnosed w...
The aim of the study was to use a previously proposed mask region-based convolutional neural network...
BACKGROUND: A plethora of prognostic biomarkers for esophageal squamous cell carcinoma (ESCC) that h...
We are developing imaging methods for a co-clinical trial investigating synergy between immunotherap...
Developing deep learning models to analyze histology images has been computationally challenging, as...
BACKGROUND: This study aimed to assess the utility of deep learning analysis using pretreatment FDG-...
With a variety of tumor subtypes, personalized treatments need to identify the subtype of a tumor as...
When doctors use contrast-enhanced computed tomography (CECT) images to predict the metastasis of ax...
This article explores the value of wall F-FDG PET/Cr imaging in the diagnosis of thyroid cancer, stu...
INTRODUCTION: This study aims to construct a real-time deep convolutional neural networks (DCNNs) sy...
To compare the surgical outcomes of robot-assisted partial nephrectomy (RAPN) between patients with ...
Background Patterns of metastasis in cancer are increasingly relevant to prognostication and treatme...
The precise prediction of acute kidney injury (AKI) after nephrectomy for renal cell carcinoma (RCC)...
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...
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 ...
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...