Gastroenterology

Prospective Registry Study on Thermal Liver Ablation of Primary and Secondary Liver Tumours Named the A-IMAGIO Study.

PURPOSE: The long-term objective of the Ablation-IMaging and Advanced Guidance for workflow optimiza...

Clinical benefits of deep learning-assisted ultrasound in predicting lymph node metastasis in pancreatic cancer patients.

AIM: This study aimed to develop and validate a deep learning radiomics nomogram (DLRN) derived from...

Evolution of inflammatory bowel disease in Korea: a 60-year perspective on clinical and research development.

Inflammatory bowel disease (IBD) was once considered rare in Korea, with the first reported case doc...

Quantitative and automatic plan-of-the-day assessment to facilitate adaptive radiotherapy in cervical cancer.

To facilitate implementation of plan-of-the-day (POTD) selection for treating locally advanced cervi...

The impact of artificial intelligence on the endoscopic assessment of inflammatory bowel disease-related neoplasia.

Inflammatory bowel disease (IBD) is a group of chronic inflammatory conditions of the gastrointestin...

OncoE25: an AI model for predicting postoperative prognosis in early-onset stage I-III colon and rectal cancer-a population-based study using SEER with dual-center cohort validation.

BACKGROUND: Although CRC incidence is declining overall, early-onset colorectal cancers are increasi...

Prediction of biological evolution following blood product transfusion during liver transplantation: the contribution of machine learning to decision-making.

OBJECTIVES: Liver transplantation is a complex procedure frequently requiring transfusion of blood p...

Deep learning dosiomics in grade 4 radiation-induced lymphopenia prediction in radiotherapy for esophageal cancer: a multi-center study.

PURPOSE: To investigate the feasibility and accuracy of using deep learning and dosiomics features, ...

Algorithm-based intraoperative diagnosis of liver tumors using infrared spectroscopy.

Liver cancer, including hepatocellular carcinoma (HCC), cholangiocellular carcinoma (CCC), and metas...

Artificial intelligence-based marks detection and incision guide line prediction model in esophageal endoscopic submucosal dissection: a multicenter study (with video).

BACKGROUND: Endoscopic submucosal dissection (ESD) was an important minimally invasive procedure for...

Disease entity impacts muscle wasting in the ICU with COVID-19 patients losing muscle nearly twice as fast.

Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant c...

Application of artificial intelligence lesion labeling system-assisted endoscopic submucosal dissection for the treatment of esophageal lesions in a low-volume center: a prospective cohort study.

BACKGROUND AND AIMS: Multiple artificial intelligence (AI) systems have been developed to assist wit...

Real-time AI-based detection of excessive traction on the recurrent laryngeal nerve during robotic-assisted minimally invasive esophagectomy: a proof-of-concept study.

Recurrent laryngeal nerve (RLN) palsy often occurs due to excessive traction (ET) on the nerve durin...

Comprehensive Bibliometric Analysis of Prediction Models for HCC: Current Trends and Future Prospects.

BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary malignant liver tumor, with ri...

Enhancing non-invasive early detection of gastric cancer: a critical reflection on exosome ncRNA and machine learning.

Development and validation of an AI-driven radiomics model using non-enhanced CT for automated severity grading in chronic pancreatitis.

OBJECTIVE: To develop and validate the chronic pancreatitis CT severity model (CATS), an artificial ...

Artificial intelligence in imaging diagnosis of liver tumors: current status and future prospects.

Liver cancer remains a significant global health concern, ranking as the sixth most common malignanc...

AI at the Forefront: Navigating Oncologic Care for Six Gastrointestinal Cancers According to the NCCN Guidelines Utilizing Gemini-1.0 Ultra and ChatGPT-4.

BACKGROUND AND OBJECTIVES: We explored the ability of large language models (LLMs) ChatGPT-4 and Gem...

Author Correction: Focal liver lesion diagnosis with deep learning and multistage CT imaging.

Comparison of publicly available artificial intelligence models for pancreatic segmentation on T1-weighted Dixon images.

PURPOSE: This study aimed to compare three publicly available deep learning models (TotalSegmentator...

A Systematic Review of the Clinical Impact of Implementing Artificial Intelligence in Upper Aerodigestive Tract Endoscopy.

BACKGROUND: Endoscopy is essential in upper aerodigestive tract (UADT) examination, particularly in ...