Latest AI and machine learning research in gastroenterology for healthcare professionals.
To identify clusters of high-cost patients in England based on diagnoses and sociodemographic characteristics to inform targeted population health management. A retrospective population-based cohort study using unsupervised machine learning. English primary care electronic health records from the Clinical Practice Research Datalink, linked to Hospital Episode Statistics for hospital records and Of...
Metabolic dysfunction-associated steatotic liver disease (MASLD) arises from excessive hepatic fat accumulation that triggers inflammation and liver injury. It is the most prevalent chronic liver disease worldwide, affecting more than one quarter of adults. Despite this, MASLD is often underdiagnosed, making it more difficult to perform genome-wide association studies (GWAS). In this paper, we imp...
Structured phenotypic annotations linked to genetic data can drive diagnostic insight and therapeutic discovery in complex diseases. However, poor res...
The distribution of abdominal adipose depots and their mechanistic links to type 2 diabetes remain incompletely understood. This study elucidated the ...
Colon Cancer (CC) is among the most frequently diagnosed malignancies and a leading cause of cancer-related death worldwide. Five-year survival varies...
Digital pathology enables large multi-centre studies of histological specimens, but differences in staining protocols and slide quality can compromise...
Bariatric surgery is an established treatment for obesity and its associated comorbidities, including diabetes, hypertension, sleep apnea, and hyperch...
INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health challenge, characterized by significant vari...
BACKGROUND: Investigating the pivotal role of IL1RAP in the tumor microenvironment of gastric cancer.
BACKGROUND: The annual incidence of upper gastrointestinal hemorrhage (UGIB) is about 60 cases/100,000 people, and about 40% of UGIB patients have hem...
OBJECTIVE: In non-clinical safety evaluation of drugs, pathological result is one of the gold standards for determining toxic effects. However, pathol...
BACKGROUND: Ulcerative colitis (UC) is a chronic inflammatory bowel disease marked by dysregulated immune responses, resulting in sustained inflammati...
BACKGROUND: Acute intestinal graft-versus-host disease (AIGVHD) is a common complication of allogeneic hematopoietic stem cell transplantation (allo H...
BACKGROUND AND STUDY AIMS: Polyp size is crucial for determining colonoscopy surveillance intervals. We present an artificial intelligence (AI) model ...
BACKGROUND AND STUDY AIMS: Gastroenterologists are prone to endoscopy-related musculoskeletal injuries (ERI). Current interventions lack real-time mon...
PURPOSE: Intra-operative factors are crucial to early recurrence of hepatocellular carcinoma (HCC) after microwave ablation (MWA), but few models have...
OBJECTIVE: To develop a multi-task artificial intelligence-assisted system for small bowel capsule endoscopy (SBCE) based on various Transformer neura...
Cancer remains the second leading cause of death worldwide. Tumor invasion and metastasis pose significant challenges for clinical management. In addi...
The remarkable capacity of the liver to regenerate its lost mass after resection makes living donor liver transplantation a successful treatment optio...
BACKGROUND: This study was conducted to assess the efficacy and safety of magnetic resonance (MR)-guided hypofractionated radiotherapy in patients wit...