Latest AI and machine learning research in gastroenterology for healthcare professionals.
OBJECTIVES: This study aimed to develop nomograms for predicting post-hepatectomy liver failure (PHL...
OBJECTIVE: Early detection and monitoring of hepatic steatosis can help establish appropriate preven...
The early detection and diagnosis of gastrointestinal tract diseases, such as ulcerative colitis, po...
BACKGROUND: To develop an artificial intelligence (AI)-based model using Radiomics, deep learning (D...
PURPOSE: The purpose of this study was to investigate whether the high-precision magnetic resonance ...
BACKGROUND AND AIMS: This study sought to assess the capabilities of large language models (LLMs) in...
BACKGROUND: Diabetic retinopathy (DR), a prevalent complication in patients with type 2 diabetes, ha...
Accurate whole-cell segmentation is essential in various biomedical applications, particularly in st...
OBJECTIVE: Gastric cancer ranks as one of the top five deadliest cancers worldwide and is often diag...
Pancreatic cancer remains one of the most lethal cancers, primarily due to its late diagnosis and li...
Automated volumetric segmentation of the pancreas on cross-sectional imaging is needed for diagnosis...
In the present study, we explore the dynamics of Hepatitis B virus infection, a significant global h...
Every year, an estimated 1.5 million people worldwide contract Hepatitis C, a significant contributo...
This article discusses the role of deep learning (DL) in cancer imaging, focusing on its application...
BACKGROUND: Although capsule endoscopy (CE) is a crucial tool for diagnosing small bowel diseases, t...
This study aimed to construct and assess a machine-learning algorithm designed to forecast survival ...
BACKGROUND: Crohn's disease is a severe chronic and relapsing inflammatory bowel disease. Although c...
OBJECTIVE: To evaluate machine learning (ML) models' performance in predicting acute pancreatitis (A...
OBJECTIVE: The purpose of this study was to compare radiation dose reduction capability for accurate...
OBJECTIVE: The risk of gastric cancer can be predicted by gastroscopic manifestation recognition and...
With the development of deep learning in the field of medical image segmentation, various network se...