AI-Powered Endoscopic Imaging Diagnosis Case Study

In the modern medical field, AI-based image diagnosis technology is revolutionizing the diagnostic process for physicians, enabling faster and more accurate diagnoses. LPIXEL Inc. has developed a product that automatically detects polyps during colonoscopy procedures using AI, contributing to improved diagnostic accuracy. However, in order to implement this technology in clinical settings, the challenge of introducing a high-performance AI computing device within limited space had to be overcome.

This case study highlights how LPIXEL Inc. selected the HTB-210-Q470, a compact system with high-performance GPU expandability, to address the challenges of limited space and computing power in medical facilities. Through this document, we will explore how AI enhances diagnostic accuracy, the key considerations in selecting medical devices, and how the hardware procurement and deployment process can be streamlined.
Discover how AI is transforming the frontlines of modern healthcare—download this case study now to learn more!