Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
BACKGROUND: Recent investigations of recovery from alcohol use disorder (AUD) have distinguished sub...
BACKGROUND: An accurate prognostic tool is essential to aid clinical decision-making (e.g., patient ...
BACKGROUND: Resveratrol (RES), a common type of plant polyphenols, has demonstrated promising therap...
Genomic alterations are the driving force behind pancreatic cancer (PC) tumorigenesis, but they do n...
The increasing prevalence of environmental pollutants has raised public concern about their potentia...
BACKGROUND: Postdischarge venous thromboembolism (pdVTE) is a life-threatening complication followin...
Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed in its late stages when treatment op...
BackgroundSepsis complicates acute pancreatitis (AP), increasing mortality risk. Few studies have ex...
Alcoholism, a progressive loss of control over alcohol consumption, deteriorates mental and physical...
OBJECTIVE: Early diagnosis of pancreatic cystic neoplasm (PCN) is crucial for patient survival. This...
To enhance the sensitivity, integration, and practicality of the Raman detection system, a deep lear...
The diagnosis of pancreatic cancer presents a significant challenge due to the asymptomatic nature o...
Prolonged use of digital devices and sedentary lifestyles have led to an increase in the prevalence ...
Hundreds of loci have been robustly associated with obesity-related traits, but functional character...
One bottleneck of magnetic resonance imaging (MRI)-guided online adaptive radiotherapy is the time-c...
Total knee arthroplasty (TKA) is an effective treatment for end stage osteoarthritis. However, biops...
PURPOSE: In recent years, the detection of the duodenal papilla and surgical cannula has become a cr...
BACKGROUND: Long-term severe cholangitis can lead to dense adhesions and increased fragility of the ...
PURPOSE: This multicenter study aimed to develop and validate a multiscale deep learning radiomics n...
OBJECTIVES: To evaluate the efficiency of super-resolution deep-learning reconstruction (SR-DLR) opt...
AIMS: The objective of this study is to illustrate the application of a machine learning algorithm, ...