Gastroenterology

Optimal treatment selection for hepatocellular carcinoma in the era of immunotherapy.

Immunotherapy has revolutionized hepatocellular carcinoma (HCC) management, necessitating personalized strategies in current guidelines. Despite curative intent for early-stage HCC, recurrence rates remain high. While antiviral therapy mitigates risk, no adjuvant therapy is currently established for high-risk patients. Artificial intelligence (AI) models now offer promising tools for predicting po...

Artificial intelligence for surgical management of benign esophageal disease: scoping review and evidence mapping.

Advancing precision medicine in pancreatic cancer using novel biomarkers and clinical targets.

Precision-guided therapy is imperative in the battle against pancreatic ductal adenocarcinoma (PDAC), one of the most lethal solid malignancies with l...

Clinical Machine Learning Model for Predicting Pathological Complete Response in Patients with Esophageal and Gastroesophageal Junction Adenocarcinoma After Trimodality Therapy.

BACKGROUND: Accurate prediction of pathological complete response (pCR) after preoperative chemoradiation therapy, followed by surgery (trimodality th...

Artificial Intelligence in Surgical Education: A Pilot Study Using ASCRS Guideline-Derived Questions.

BackgroundLarge language models (LLMs) have demonstrated strong performance on general medical and surgical examinations; however, their capacity to a...

Assessing the impact of data harmonization on human liver microsomal stability prediction model performance.

Metabolic stability, often assessed using human liver microsomes (HLM), is a key determinant of drug clearance and pharmacokinetics (PK), yet experime...

A review of clinical trial radiotherapy quality assurance: value, evolution and lessons.

BACKGROUND AND PURPOSE: Deviations in radiotherapy quality can significantly affect clinical trial outcomes, including overall survival. Radiotherapy ...

[Bottlenecks and breakthroughs in gastric cancer diagnosis and treatment: Towards a new era of precision and intelligent integration].

Gastric cancer constitutes a significant global health burden, and its clinical management is undergoing a critical transition from a traditional expe...

[Practice and reflection on sentinel lymph node navigation surgery for early gastric cancer].

With the continuous update and iteration of minimally invasive techniques, artificial intelligence and big data, the surgical treatment of early gastr...

[Current status and future perspectives of precision treatment for locally advanced rectal cancer].

The treatment paradigm for locally advanced rectal cancer is undergoing a fundamental transformation from the traditional fixed triad of "radiotherapy...

[Robotic gastrectomy: Research progress and practical challenges].

Gastric cancer is one of the malignant tumors with high incidence and mortality rates globally, with China ranking among the top 5 in both case number...

Development and validation of a fully automated transformer-based 3D framework for pancreatic fat quantification in pancreatic steatosis.

PURPOSE: To develop and validate a fully automated TransUNet-based framework for 3D pancreatic segmentation and volumetric fat quantification on PDFF ...

Training in diagnostic and interventional endoscopic ultrasound: a state-of-the-art review.

INTRODUCTION: Endoscopic ultrasound (EUS) has progressed from a primarily diagnostic modality to an essential diagnostic and therapeutic platform. The...

Development and validation of a novel blood-based biomarker for gastric cancer triage in chronic dyspepsia.

Global implementation of gastric cancer (GC) screening in chronic dyspepsia populations faces challenges due to the high number-needed-to-scope (NNS) ...

Personalizing treatment of pancreatitis-associated chronic pain: the need for an integrated omics approach.

BACKGROUND: Chronic pancreatitis (CP) is a progressive inflammatory disorder characterized by debilitating chronic pain and substantial healthcare bur...

A pyroptosis-related gene signature for the diagnosis of acute pancreatitis.

Acute pancreatitis (AP) is a severe inflammatory disorder in which pyroptosis-a pro-inflammatory form of programmed cell death-may contribute to patho...

Large Language Models for the Differentiation of Benign and Malignant Liver Nodules based on Multimodal Prompts in Liver US Cases.

OBJECTIVE: Large language models (LLMs) that can process both images and text are increasingly being used in radiology. This study aimed to evaluate t...

Multidimensional urban morphology and carbon intensity: Nonlinear drivers in dense cities.

Urban morphology (UM) significantly influences carbon emissions (CEs), yet fine-scale mechanisms involving three-dimensional (3D) structure and natura...

Artificial intelligence in hepatocellular carcinoma: imaging-based subtyping and prediction of treatment response and prognosis.

Hepatocellular carcinoma (HCC) is the most common primary liver malignancy, accounting for nearly 90% of primary liver cancers worldwide. It is a biol...

Artificial Intelligence for Identifying Patient-Reported Outcome and Experience Measures in Oncology: Retrospective Cross-Sectional Study Using ClinicalTrials.gov.

BACKGROUND: Traditional health care systems have evolved to increasingly recognize patients' perspectives as key to improving the quality of care, esp...