Latest AI and machine learning research in gastroenterology for healthcare professionals.
PURPOSE: Neoadjuvant chemoradiotherapy (CRT) is known to increase sphincter preservation rates and decrease the risk of postoperative recurrence in patients with locally advanced rectal tumors. However, the response to CRT in patients with locally advanced rectal cancer (LARC) varies significantly. The objective of this study was to compare the performance of models based on radiomics features of ...
Accurate segmentation and classification of liver tumors are crucial for early diagnosis and effective treatment planning. However, conventional deep learning models such as tumor heterogeneity, class imbalance, and high computational demands face challenges, limiting their clinical deployment. This study introduces a lightweight hybrid framework combining an optimized Swin-UNet for segmentation w...
China's response to the high prevalence of digestive tract diseases involves conducting large-scale endoscopic screening programs. However, the substa...
INTRODUCTION: Despite the effectiveness of infliximab in treating Crohn's disease (CD), up to 40Â % of patients fail to respond adequately. OBJECTIVES:...
BACKGROUND & AIMS: The multicenter, randomized, control trial was conducted to evaluate whether computer-aided diagnosis (CADx) improves the optical d...
Water exchange and artificial intelligence-based computer-aided detection (CADe) separately improve the adenoma detection rate (ADR) and number of ade...
Colorectal cancer remains a major health burden, and its early detection is crucial for effective treatment. This study investigates the use of a hand...
OBJECTIVE: Endometriosis significantly impacts the quality of life (QoL) of affected women due to its complex symptomatology. This study aimed to deve...
BACKGROUND & AIMS: Fibrosis stage is a key determinant of outcomes in metabolic dysfunction-associated steatohepatitis (MASH). Assessment of fibrosis ...
Pancreatic cystic lesions are widely recognized as harbingers of pancreatic cancer. Intraductal papillary mucinous neoplasm (IPMN) is the most common ...
Risk stratification remains critical in cardiac surgery, enabling clinicians to predict adverse outcomes and guide perioperative management. The Europ...
Oral drug delivery remains a clinically preferred route for colorectal cancer therapy due to its noninvasive nature and patient compliance. However, c...
Nasal obstruction has multiple causes requiring specialist endoscopy for diagnosis. A rule-based expert system (RB-ES), which applies five "if-then" r...
This study investigates the application of deep learning techniques for segmenting glands in histopathological images of colorectal cancer. We trained...
BACKGROUND: Although the significance of intratumoral heterogeneity (ITH) has been widely acknowledged in various cancers, its role in pancreatic canc...
INTRODUCTION: Type 2 diabetes (T2D) continues to worsen globally alongside rise in obesity. Asymptomatic dysglycaemia, which precedes T2D, provides op...
Accurate prediction of CNS relapse in DLBCL remains challenging despite existing models like IPI and CNS-IPI. This study aimed to develop a machine le...
Gastrointestinal bleeding (GIB) occurs more frequently in cardiovascular patients than in the general population, significantly affecting morbidity an...
INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly gaining relevance both as a public health issue and a c...
BACKGROUND: Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the third most common cause of cancer-related death. Cirrhosi...