Esophagogastroduodenoscopy (EGD) has been used to diagnose a wide variety of upper
gastrointestinal diseases. In particular, EGD is used to screen high-risk subjects of gastric …

Medical schools store large sets of patient data. The data is important for the analysis of
trends and patterns in healthcare practice. However, obtaining access to the data can be …

Objective This study aimed to develop and validate a scoring system for predicting the need
for esophagogastroduodenoscopy (EGD) in clinical practice to enhance accuracy and …

Objectives We aimed to predict in vitro chemosensitivity assay results from computed
tomography (CT) images by applying deep learning (DL) to optimize chemotherapy for …

Although Alzheimer's disease (AD) cannot be reversed or cured, timely diagnosis can
significantly reduce the burden of treatment and care. Current research on AD diagnosis …

This paper quantitatively reveals the state-of-the-art and state-of-the-practice AI systems only
achieve acceptable performance on the stringent conditions that all categories of subjects …

BACKGROUND Hepatitis C virus is known for its oncogenic potential, especially in
hepatocellular carcinoma and non-Hodgkin lymphoma. Several studies have shown that …

In recent years, deep algorithms and big data and other technical means have risen rapidly,
and the application of artificial intelligence has become the future development trend of …

Background Predicting response to chemotherapy can lead to its optimization. Furthermore,
prediction using a noninvasive approach is clearly preferable to an invasive approach. This …