An interpretable artificial intelligence system for detecting risk factors of gastroesophageal variceal bleeding

The Prediction and Treatment of Bleeding Esophageal Varices in the Artificial Intelligence Era: A Review

Esophageal varices (EVs), a significant complication of cirrhosis, present a considerable challenge in clinical practice due to their high risk of bleeding and associated morbidity and mortality. This manuscript explores the transformative role of artificial intelligence (AI) in the management of EV, particularly in enhancing diagnostic accuracy and predicting bleeding risks. It underscores the potential of AI in offering noninvasive, efficient alternatives to traditional diagnostic methods such as esophagogastroduodenoscopy (EGD). The complexity of EV management is highlighted, necessitating a multidisciplinary approach that includes pharmacological therapy, endoscopic interventions, and, in some cases, surgical options tailored to individual patient profiles. Additionally, the paper emphasizes the importance of integrating AI into medical education and practice, preparing healthcare professionals for the evolving landscape of medical technology. It projects a future where AI significantly influences the management of gastrointestinal bleeding, improving clinical decision-making, patient outcomes, and overall healthcare efficiency. The study advocates for a patient-centered approach in healthcare, balancing the incorporation of innovative technologies with ethical principles and the diverse needs of patients to optimize treatment efficacy and enhance healthcare accessibility.

Applications of artificial intelligence in gastroscopy: a narrative review

Gastroscopy, a critical tool for the diagnosis of upper gastrointestinal diseases, has recently incorporated artificial intelligence (AI) technology to alleviate the challenges involved in endoscopic diagnosis of some lesions, thereby enhancing diagnostic accuracy. This narrative review covers the current status of research concerning various applications of AI technology to gastroscopy, then discusses future research directions. By providing this review, we hope to promote the integration of gastroscopy and AI technology, with long-term clinical applications that can assist patients.

ENDOANGEL versus water exchange for the detection of colorectal adenomas

Background

Recently, the ENDOANGEL (EN) system, a computer-assisted detection technique, and water exchange (WE) assisted colonoscopy have both been shown to increase the colorectal adenoma detection rate (ADR).

Objectives

The aim of this study was to compare the ADR between EN- and WE-assisted colonoscopy.

Design

This was a retrospective study.

Methods

Data from patients who underwent either EN- or WE-assisted colonoscopy between October 2021 and August 2022 were analysed consecutively. The primary outcome measure was the ADR.

Results

The ADR was found to be similar between the EN and WE groups, with 80 out of 199 (40.2%) patients in the EN group compared to 78 out of 174 (44.8%) patients in the WE group [1.21; 95% confidence interval (CI), 0.80-1.83]. In the analysis using stabilized inverse probability treatment weighting after adjustment for confounding factors, both colonoscopy methods had similar performance in terms of ADR (1.41; 95% CI, 0.88-2.27).

Conclusion

EN was found to be comparable to WE in terms of ADR during colonoscopy, and both methods may be effectively used in clinical practice.

Feasibility of computed tomography portal venography in the preoperative evaluation of emergent TIPS creation for cirrhotic patients with acute variceal bleeding

OBJECTIVES

To evaluate the feasibility of computed tomography portal venography (CTPV) in the preoperative evaluation of emergent transjugular intrahepatic portosystemic shunt (TIPS) creation for cirrhotic patients with acute variceal bleeding (AVB).

METHODS

One hundred and forty-eightcirrhotic patients with AVB undergoing emergent TIPS creation from January 2016 to December 2022 in our institution were enrolled in the retrospective study. The primary outcome was the consistency between CTPV and endoscopy in the classification and grading of gastroesophageal varices (GEVs). The second outcome was extraluminal CTPV findings. The consistency of CTPV and endoscopy in the classification and grading of GEVs was determined by Kappa values.

RESULTS

Emergent TIPS creation was technically successful in all patients. Forty-five patients underwent preoperative endoscopy. The results of CTPV diagnosis of GEVs classification were that 112, 28, and 8 patients were classified as gastroesophageal varices type 1 (GOV1), GOV2, and isolated gastric varices type 1 (IGV1), respectively. In diagnosing the classification and grading of GEVs, CTPV showed substantial agreement with preoperative endoscopy, with Kappa values of 0.823 and 0.625, respectively. CTPV provided the afferent and afferent vessels of GEVs for emergent TIPS creation.

CONCLUSION

CTPV is feasible and effective to act as an alternative preoperative evaluation method to endoscopy for cirrhotic patients with AVB undergoing emergent TIPS creation.