Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Isolated pancreatic metastasis from melanoma is extremely uncommon and accounts for appr...
Artificial intelligence (AI)-based image analysis is increasingly being used for preclinical safety-...
Regional soft tissue mechanical strain offers crucial insights into tissue's mechanical function and...
Radiotherapy requires the target area and the organs at risk to be contoured on the CT image of the ...
OBJECTIVES: To compare the overall image quality and detectability of significant (malignant and pre...
BACKGROUND AND AIM: Recently, artificial intelligence (AI) has been used in endoscopic examination a...
Alterations of discoidin domain receptor1 (DDR1) may lead to increased production of inflammatory cy...
An esophageal cancer intelligent diagnosis system is developed to improve the recognition rate of es...
The present study aimed to evaluate the toxicity and biochemical changes of 3 instar larvae affecte...
Diabetes is a worldwide public health disease. Currently, the most effective way to treat diabetes i...
PURPOSE: To evaluate the image quality of ultra-high-resolution CT (U-HRCT) in the comparison among ...
BACKGROUND: Most existing algorithms have been focused on the segmentation from several public Liver...
BACKGROUND: Liver cancer (Hepatocellular carcinoma; HCC) prevalence is increasing and with poor clin...
Treatment of patients with anosmia is a major therapeutic challenge. The present study evaluated th...
BACKGROUND: Delineation of clinical target volume (CTV) for radiotherapy is a time-consuming and lab...
BACKGROUND AND AIM: Gastrointestinal endoscopy and biopsy-based pathological findings are needed to ...
The classification of esophageal disease based on gastroscopic images is important in the clinical t...
Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric c...
BACKGROUND: Minimally invasive liver resection is gradually becoming the preferred technique to trea...
OBJECTIVE: To evaluate the performance of a deep learning (DL)-based radiomics strategy on contrast-...
BACKGROUND: Currently 4 surgical techniques are performed for transthoracic esophagectomy (open esop...