Latest AI and machine learning research in gastroenterology for healthcare professionals.
The liver is one of the vital organs in the body. Precise liver segmentation in medical images is es...
BACKGROUND: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, of...
RATIONALE AND OBJECTIVES: To develop interpretable machine learning models that utilize deep learnin...
Cancer, a global health threat, demands effective diagnostic solutions to combat its impact on publi...
Neoadjuvant chemotherapy assessment is imperative for prognostication and clinical management of loc...
Endoscopic-assisted breast surgery (EABS) provides better cosmetic outcomes for breast cancer patie...
Hepatocellular carcinoma (HCC) is one of the most common malignancies. The currently available clini...
BACKGROUND: Predicting the risk of developing pancreatic ductal adenocarcinoma (PDAC) is of paramoun...
BACKGROUND: Artificial intelligence (AI) offers potential support in patient-clinician interactions,...
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...
BACKGROUND: Treatment of locally advanced rectal cancer (LARC) involves neoadjuvant chemoradiotherap...
The utilization of artificial intelligence (AI) is expanding significantly within medical research a...
In modern medical imaging-assisted therapies, manual annotation is commonly employed for liver and t...
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/INTRODUCTION: To evaluate the performance of pre-trained deep learning schemes (DLS) in h...
BACKGROUND: The nasopharyngolaryngoscopy (NPL) has emerged as a valuable tool for detecting early ca...
This work aims to develop a novel convolutional neural network (CNN) named ResNet50* to detect vario...
HIV remains a critical global health issue, with an estimated 39.9 million people living with the vi...
Data-driven methods have shown tremendous progress in medical image analysis. In this context, deep ...