Latest AI and machine learning research in gastroenterology for healthcare professionals.
Hepatocellular carcinoma (HCC) is one of the most common malignancies. The currently available clini...
Endoscopic-assisted breast surgery (EABS) provides better cosmetic outcomes for breast cancer patie...
BACKGROUND: Predicting the risk of developing pancreatic ductal adenocarcinoma (PDAC) is of paramoun...
PURPOSE: To develop a machine learning algorithm to improve hepatic resection selection for patients...
Glycogen structure is closely associated with its physiological functions. Previous studies confirme...
In modern medical imaging-assisted therapies, manual annotation is commonly employed for liver and t...
The utilization of artificial intelligence (AI) is expanding significantly within medical research a...
BACKGROUND: Treatment of locally advanced rectal cancer (LARC) involves neoadjuvant chemoradiotherap...
BACKGROUND: Gastric cancer is a major oncological challenge, ranking highly among causes of cancer-r...
BACKGROUND: Deficient mismatch repair or microsatellite instability is a major predictive biomarker ...
BACKGROUND: The nasopharyngolaryngoscopy (NPL) has emerged as a valuable tool for detecting early ca...
BACKGROUND/INTRODUCTION: To evaluate the performance of pre-trained deep learning schemes (DLS) in h...
HIV remains a critical global health issue, with an estimated 39.9 million people living with the vi...
This work aims to develop a novel convolutional neural network (CNN) named ResNet50* to detect vario...
Data-driven methods have shown tremendous progress in medical image analysis. In this context, deep ...
INTRODUCTION: The postoperative recurrence of gastric cancer (GC) has a significant impact on the ov...
BACKGROUND: Existing models do poorly when it comes to quantifying the risk of lymph node metastases...
BACKGROUND: Colonoscopy stands as a pivotal diagnostic tool in identifying gastrointestinal diseases...
BACKGROUND: Extrapancreatic perineural invasion (EPNI) increases the risk of postoperative recurrenc...
OBJECTIVE: Critically ill patients with liver cirrhosis generally have a poor prognosis due to compl...
BACKGROUND AND OBJECTIVES: Deep learning (DL) algorithms demonstrate excellent diagnostic performanc...