Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Unplanned reoperation (URO) after surgery adversely affects the quality of life and prog...
BACKGROUND & AIMS: Direct-acting antivirals (DAAs) have considerably improved chronic hepatitis C (H...
Deep learning (DL) tools developed on adult data sets may not generalize well to pediatric patients,...
OBJECTIVE: A capsule robot (CR) with an onboard active locomotion mechanism, has been developed as a...
A fractional model for the kinetics of hepatitis B transmission was developed. The hepatitis B virus...
The gallbladder (GB) is a small pouch and a deep tissue placed under the liver. GB Cancer (GBC) is a...
Verbal autopsy (VA) narratives play a crucial role in understanding and documenting the causes of mo...
BACKGROUND: Moderately differentiated gastric adenocarcinoma (MDGA) has a high risk of metastasis an...
BACKGROUND AND AIMS: Cecal intubation in colonoscopy relies on self-reporting. We developed an artif...
Gastric cancer (GC) is a prevalent malignancy with high mortality rates. Immunogenic cell death (ICD...
BACKGROUND: The existing predictive models for metabolic-associated fatty liver disease (MAFLD) poss...
Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management o...
BACKGROUND: Colorectal cancer (CRC) is a common cancer that causes millions of deaths worldwide each...
RATIONALE AND OBJECTIVES: To develop and validate multimodal deep-learning models based on clinical ...
Gastrointestinal endoscopic image analysis presents significant challenges, such as considerable var...
Plastic pollution, driven by micro- and nanoplastics (MNPs), poses a major environmental threat, exp...
BACKGROUND: This study aims to establish a predictive model for assessing the risk of esophageal can...
OBJECTIVE: Colorectal cancer (CRC) is the fourth most common cancer in the UK. Patients with symptom...
PURPOSE: To assess the feasibility of the single-shot turbo spin echo sequence using deep learning-b...
Liver ultrasound is widely used in clinical practice due to its advantages of non-invasiveness, non-...
PURPOSE: The purpose of this study was to develop a radiomics-based algorithm to identify small panc...