Additional Information
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Not all small bowel capsule systems are created equal. The NaviCam® SB System, powered by the innovative ProScan™ AI-Assisted Reading Tool, sets a new standard in capsule endoscopy. AnX Robotica is redefining the field with cutting-edge technology designed for accuracy, efficiency, and ease of use.
ProScan™ is the first AI-assisted reading tool designed to reduce reading times for Small Bowel Video Capsule Endoscopy while enhancing diagnostic accuracy.
ProScan™ leverages Deep Learning and Machine Learning to detect abnormalities in the small bowel. Its advanced algorithm can differentiate between normal mucosa and abnormal lesions, streamlining the study review process and enhancing diagnostic confidence.
The sensitivity for per-patient and per-lesion analyses reached 99.88% and 99.90%, respectively, compared to conventional reading rates of 74.57% and 76.89%.¹ Additionally, ProScan™ displayed a 100% specificity rate, ensuring high diagnostic reliability. ¹
One of ProScan’s standout features is its ability to drastically cut reading time. The mean reading time for small bowel analyses was reduced from 33.7 minutes with standard reading to just 3.8 minutes using ProScan. ²
The combination of high diagnostic performance and efficiency makes ProScan™ a valuable tool in clinical settings, leading to better patient management and potentially shorter diagnosis cycles. Its automatic GI tract site recognition further enhances workflow efficiency.
The ESView platform integrates seamlessly with ProScan™, providing an intuitive interface for rapid and accurate case evaluation. Its user-friendly design ensures a smooth experience for both novice and experienced users.
NaviCam® SB isn’t just another capsule—it’s a breakthrough in small bowel endoscopy. By combining state-of-the-art imaging with AI-driven insights, it empowers healthcare professionals to deliver better patient outcomes.
Discover how the NaviCam® SB System with ESView and ProScan™ AI can transform your practice. Contact us today for a demo or more information.
References:
1 Gastroenterology 2019;157:1044–1054
2 Spada, C. et al. (2024). Lancet Digital Health,6,e345-353
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