Latest AI and machine learning research in gastroenterology for healthcare professionals.
Understanding protein function and developing molecular therapies require deciphering the cell types...
Pancreatic cancer is a highly lethal disease with a poor prognosis. Its early diagnosis and accurate...
BACKGROUND: The pancreas is a complex abdominal organ with many anatomical variations, and therefore...
BACKGROUND: Computer-aided detection (CADe) systems for colonoscopy have been shown to increase smal...
BACKGROUND: Lenvatinib plus PD-1 inhibitors and interventional (LPI) therapy have demonstrated promi...
OBJECTIVES: To evaluate deep learning reconstruction (DLR)-based accelerated rectal magnetic resonan...
The current study trains, tests, and evaluates a deep learning algorithm to detect subglottic stenos...
Meconium, a non-invasive biomaterial reflecting prenatal substance accumulation, could provide valua...
The microarray gene expression data poses a tremendous challenge due to their curse of dimensionalit...
To explore the application efficacy and significance of deep learning in anesthesia management for g...
PURPOSE: Augmented reality guidance in laparoscopic liver resection requires the registration of a p...
BACKGROUND: Steatotic liver disease (SLD) is associated with adverse cardiac events. Metabolic dysfu...
BACKGROUND: It is uncertain which biological features underpin the response of rectal cancer (RC) to...
BACKGROUND: Pancreatic cysts in autosomal dominant polycystic kidney disease (ADPKD) correlate with ...
BACKGROUND: The incidence and mortality rates of gastrointestinal (GI) cancers are high in the Unite...
Reducing recurrence following radical resection of colon cancer without overtreatment or undertreatm...
Though artificial intelligence (AI) is being widely implemented in gastroenterology (GI) and hepatol...
Fast detection of viral infections is a key factor in the strategy for the prevention of epidemics e...
BACKGROUND: We aimed to establish a prognostic predictive model based on machine learning (ML) metho...
PURPOSE: To develop a combined radiomics and deep learning (DL) model in predicting radiation esopha...
In the domain of Computer-Aided Diagnosis (CAD) systems, the accurate identification of cancer lesio...