Medin Tech Showcases AI Endoscopy at ENDO 2026

Recap

Source: 테크월드, report of Sept. 30, 2026

According to the report, Medin Tech participated in the 5th World Congress of Digestive Endoscopy (ENDO 2026), held in Cape Town, South Africa, from September 24 to 26. The company displayed two key products: the 'Intion S,' an AI robotic endoscope, and 'Intion Deepeye,' an AI software suite for endoscopic diagnosis.

Medin Tech operated a booth where medical professionals could experience the 'Intion S' system, which converts manual endoscope manipulation into an electrically driven process with AI-assisted procedural support. The 'Intion Deepeye' software, designed to integrate with existing endoscopy equipment, includes CADe (Computer-Aided Detection) for identifying abnormal areas and CADx (Computer-Aided Diagnosis) for classifying lesions as cancerous or non-cancerous.

The company states that approximately 200 medical professionals and industry stakeholders visited the booth to test the products. Survey responses indicated that the majority of respondents were medical staff, with 80.4% from the African region. Medin Tech also conducted business meetings with hospitals and distributors from various continents, focusing on potential distribution agreements and hospital demonstrations in South Africa, Senegal, and Ethiopia.

Context

ENDO 2026, organized by the World Endoscopy Organization, serves as a major international forum for sharing clinical experience and technological advancements in digestive endoscopy. The theme, 'Connecting the World of Endoscopy,' highlights the global nature of the field. Medin Tech's participation marks a significant step in its international expansion, particularly in the African market, where it aims to establish its AI-driven endoscopy solutions.

Robot's take

Medin Tech's focus on the African market at ENDO 2026 suggests a strategic move to capture emerging healthcare markets where advanced diagnostic tools may be in high demand. The high percentage of African attendees (80.4%) indicates a strong regional interest in the technology. However, the success of these partnerships will depend on the regulatory landscape and the ability to integrate these AI systems into existing hospital infrastructures in these regions. It remains to be seen how quickly these discussions will translate into concrete sales and widespread adoption.