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Digital Service

Utilizing artificial intelligence (AI) technology, we are creating innovation in global digital healthcare services, by developing digital pathology, clinical decision support systems, LIS (Laboratory Information System), and HIS (Hospital Information System)

Overview

On a global scale, OPEN Healthcare receives requests for consultations and non-identifiable Whole Slide Images (WSI) through a cloud-based digital remote pathology system. Pathologists personnel from Seegene Medical Foundation in Korea will provide consulting opinions based on the interpretation results of WSIs

ohc Digital Pesotology image

Core Competencies

Optimal staffing for AI research and development in diagnostic medicine, pathological examination, and big data processing.

Optimal staffing for AI research and development in diagnostic medicine, pathological examination, and big data processing.

Joint Research with Leading Domestic and Foreign Institutions and Companies Related to Artificial Intelligence Technology.

Joint Research with Leading Domestic and Foreign Institutions and Companies Related to Artificial Intelligence Technology.

Data collection, acquisition, and processing for the provision of digital pathology services.

Data collection, acquisition, and processing for the provision of digital pathology services.

Digital Pathology System Features

Digital Imaging of Pathology Slides in Progress
  • The introduction of high-resolution scanners enables the digital imaging of all endoscopic specimens.
  • Providing easy accessibility to pathology images through the user-friendly SeeDP (Seegene Digital Pathology) System.
  • Operation of high-performance, high-capacity dedicated storage, and GPU servers for storing high-resolution images. 
Seegene Digital Pathology System
Operation of AI-Assisted Diagnostic System
  • Quality management through the operation of a ‘Supportive Diagnostic AI Model’ based on deep learning for digitized images.
  • Enhancement of accuracy and advanced research of AI models through the utilization of large-scale data.
  • Expansion research of models through MOUs with medical artificial intelligence technology-holding companies.