Latest AI and machine learning research in liver transplantation for healthcare professionals.
Kidney transplant patients require careful management of immunosuppression to avoid rejection while ...
BACKGROUND: The Surveillance for Emerging Threats to Pregnant People and Infants Network (SET-NET) c...
ZHX2 plays a crucial role in host immunity and modulates hepatitis B virus (HBV) replication. Howeve...
PURPOSE: This study aimed to develop and validate a deep learning model based on two-dimensional (2D...
INTRODUCTION: Undiagnosed cirrhosis remains a significant problem. In this study, we developed and t...
The application of machine learning (ML) has shown promising results in precision medicine due to it...
BACKGROUND/AIMS: The prediction of clinical outcomes in patients with chronic hepatitis B (CHB) is p...
Chronic hepatitis B virus (HBV) infection affects about 262 million people worldwide, leading to ove...
In this proof-of-principle study, we systematically studied the potential of Raman spectroscopy for ...
Despite the advancements in the diagnosis of early-stage cirrhosis, the accuracy in the diagnosis us...
BACKGROUND: Infectious diseases are a major threat to public health, causing serious medical consump...
OBJECTIVE: To develop and investigate a deep learning model with data integration of ultrasound cont...
BACKGROUND: Due to intrinsic differences in data formatting, data structure, and underlying semantic...
GOAL: The goal of this study was to evaluate an artificial intelligence approach, namely deep learni...
Nonalcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease i...
Non-alcoholic fatty liver disease (NAFLD) affects about 24% of the world's population. Progression o...
BACKGROUND: Persistent critical illness (PerCI) is an immunosuppressive status. The underlying patho...
Here we report the development of MolPredictX, an innovate and freely accessible web interface for b...
Colorectal cancer (CRC) is one of the most fatal cancers of the digestive system. Although cancer st...
SIGNIFICANCE: The combination of polarized imaging with artificial intelligence (AI) technology has ...
AIM: To investigate the performance of a generative adversarial network (GAN) model for staging live...