AI-Driven Efficiency: VueSmart in Capsule Endoscopy Diagnosis

AI-Driven Efficiency: VueSmart in Capsule Endoscopy Diagnosis

The introduction of capsule endoscopy marked a pivotal advancement in gastrointestinal (GI) diagnostics, offering a non-invasive approach to visualize the small intestine with exceptional detail. Yet, its full potential was hindered by a persistent challenge: processing over 50,000 high-resolution images per procedure, a task that overwhelmed clinical workflows and demanded hours of tedious manual review. As AI technologies began reshaping medical diagnostics, JINSHAN’s VueSmart emerged as a innovative solution—engineered not just to address inefficiencies, but to redefine what AI-driven capsule endoscopy analysis can achieve through clinical empathy, technical precision, and deep domain expertise.

A Clinician-Centric Approach to AI Innovation

The core challenge of capsule endoscopy lies in balancing data volume with diagnostic accuracy. JINSHAN, dedicated in GI technology for two decades and the developer of the OMOM capsule endoscopy system, recognized that true innovation requires more than generic algorithms. It demands a solution designed in collaboration with gastroenterologists, optimized for the unique imaging parameters of OMOM hardware, and validated to enhance—never replace—clinical judgment. VueSmart embodies this philosophy, serving as an intelligent partner that streamlines workflows while empowering clinicians to focus on what matters most: patient care.

Three Core Advantages of VueSmart: Efficiency, Precision, and Collaboration
1. SmartScan: Intelligent Image Prioritization
At the heart of VueSmart is SmartScan, a deep-learning module designed to navigate the "noise" of capsule endoscopy data. Using convolutional neural network algorithm, it filters out 90% of redundant images—those depicting normal mucosa or repetitive non-diagnostic views. This reduces the average review load from over 50 minutes to just 5–8 minutes, allowing clinicians to focus on AI-prioritized regions of interest without compromising diagnostic thoroughness. SmartScan isn’t just about speed; it’s about transforming raw data into actionable insights, turning a laborious task into a strategic process.

2. Comprehensive Lesion Detection
Gastrointestinal pathologies vary widely in appearance and significance, from subtle vascular lesions to overt ulcers. VueSmart’s AI identifies 5 gastric abnormalities (e.g., fundic gland polyps, antral erythema) and 17 small intestinal lesions (including erosion, angioectasia, and ectopic pancreas). This comprehensive detection capability ensures no critical finding is overlooked, supporting timely interventions for conditions like Crohn’s disease or obscure GI bleeding.

3. Collaborative Workflow Design
VueSmart’s SmartView and SmartFinding modules are built for seamless integration with clinical workflows:

SmartView presents images in a video-montage format with timestamped AI annotations, enabling rapid navigation to flagged regions and enhancing anatomical orientation.
SmartFinding offers a detailed side-by-side comparison tool, allowing clinicians to overlay AI predictions with histopathological references or prior exam data—facilitating confident, evidence-based decisions.

Clinical Validation: Trusted by Evidence
VueSmart’s performance is backed by rigorous multicenter research published in JAMA Network Open (2023), which compared AI-assisted reading (SSAR) with conventional methods:
Efficiency: Median reading time dropped by 89.3%, from 54.1 minutes (manual) to 5.4 minutes (SSAR), without sacrificing diagnostic depth.
Accuracy: Sensitivity for clinically significant lesions reached 98.8%, outperforming manual review by 10.7% and setting a new standard for reliability.
Consistency: Inter-observer variability decreased by 60%, as AI provided a standardized framework for lesion characterization—critical for telemedicine networks and multi-center collaborations.

For healthcare providers seeking to elevate their capsule endoscopy practice—whether in high-volume clinics, specialty centers, or telemedicine networks—VueSmart offers a proven pathway to faster, more precise diagnoses.

Data source:
Xie Xet al. JAMA Network Open, 2022,5(7):e2221992 Development and Validation of an Artificial Intelligence Model for Small BowelCapsule EndoscopyVideo Review

Xia Xie etal, Gastrointest Endosc,2024Jun 6:50016-5107(24)03259-0. doi. 10.1016/jgie.2024.06.004. A New Artificial Intelligence System for both Stomach and Small BowelCapsule Endoscopy