Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: While pericardial adipose tissue (PEAT) volume is linked to cardiac risk, the prognostic value of its radiomic features for major adverse cardiac events (MACE: a composite of cardiac death, myocardial infarction, heart failure hospitalization, or stroke) in end-stage renal disease (ESRD) patients is unknown. PURPOSE: To evaluate the association of PEAT radiomics with MACE in patients w...
With the advancement of deep learning, polyp segmentation in endoscopic images has achieved remarkable progress. However, clinical polyps often exhibit variable morphology, blurred boundaries, and low contrast with the intestinal mucosa, hindering accurate lesion localization and edge delineation. Moreover, complex conditions of low light, luminal distortion, and mucosal folds further exacerbate t...
This study aimed to assess the prognostic value of medullary total metabolic tumor volume (mTMTV) derived from fluorodeoxyglucose-positron emission to...
Artificial intelligence (AI) has rapidly expanded across gastroenterology, enabling advances in real-time endoscopic detection, radiologic interpretat...
Accurate early detection of clinically significant prostate cancer is crucial for improving patient outcomes. However, traditional diagnostic methods ...
Hepatocellular carcinoma (HCC) is a highly fatal tumor, for which risk stratification is crucial, yet remains challenging. Here, we develop an interpr...
Drug-induced liver injury (DILI) remains one of the leading causes of drug development failure and post-marketing withdrawal. Despite recent advances ...
BACKGROUND: Although semaglutide 2.4 mg has demonstrated significant weight loss efficacy in clinical trials, real-world data, particularly with regar...
BACKGROUND: Post-contrast liver MRI often requires long breath-holds, risking motion artifacts that can reduce diagnostic quality. We assessed whether...
PURPOSE: Colorectal liver metastases (CRLM) are a leading cause of mortality in patients with colorectal cancer. While surgical resection is the stand...
BACKGROUND AND AIMS: Cardiovascular disease is the main cause of mortality in metabolic-associated steatotic liver disease (MASLD). This study evaluat...
Acute kidney injury (AKI) is a severe complication in patients with decompensated cirrhosis, associated with increased mortality. This study aimed to ...
The search for biological mechanisms of human aging is stalled by a lack of suitable models, and it remains unknown whether and to what degree rejuven...
Cardiovascular disease represents the leading cause of mortality in China, accounting for over 40% of all deaths. Existing risk prediction models pred...
BACKGROUND: Depression as a mental illness is commonly observed to co-occur with various somatic diseases, such as gastrointestinal diseases. However,...
INTRODUCTION: There is an unmet need for simple tools to predict development of hepatic decompensation among patients with compensated cirrhosis. We a...
The gut microbiome plays a vital role in maternal health and pregnancy outcomes, yet its impact on conditions like gestational hypertension (GH) and g...
OBJECTIVE: Tumor heterogeneity exerts a significant influence on lymphovascular invasion (LVI) and lymph node metastasis (LNM) in rectal cancer (RC), ...
Distal biliary strictures (DBS) are a common and complex clinical problem in pancreaticobiliary diseases,with etiologies involving multiple factors su...
The perioperative management of gastric cancer is a crucial factor influencing patient prognosis. The traditional model has limitations such as fragme...