Business · AI Healthcare

AI Healthcare

An everyday AI health-management service that gathers scattered health data and turns it into daily practice.

01

Records in one place

Supports a wide range of wearables (watches, bands, rings, scales) and medical devices (continuous glucose monitors, blood-pressure monitors), collecting health indicators and lifestyle patterns in real time and managing them together.

Blood glucoseBlood pressureBody compositionSleepDietBowel & urinationAuto-sync

02

Comprehensive analysis

AI trained on big data from Korea’s National Health Insurance Service analyzes personal health data, from current health status to disease-risk signals and expected life span.

Health status analysisDisease-prediction AI modelLife-span prediction AI

03

Easy daily practice

Daily, weekly and monthly AI reports and personalized insights in the MyHealth app help users keep managing their health in everyday life.

MyHealth appPersonalized insightsAI reports

Medical professional reviewing AI health analysis on a display

Data partners

The Korean business page lists the following partners for data integration and devices:

  • Samsung Health — data integration
  • InBody — body-composition data
  • OMRON — blood-pressure data
  • Shortcut Labs — devices and data integration
  • wellune — devices and data integration
  • i-SENS — continuous glucose data

Research milestones

CITECH AI healthcare paper wins an Excellent Paper Award at KCC 2026

CITECH’s AI healthcare researchers received an Excellent Paper Award at KCC 2026 in Korea for a model that predicts the risk of ten chronic diseases at the same time.

Original release Korean

Speech-in-noise AI technology presented at ICASSP 2026

CITECH presented its award-winning audio AI technology at IEEE ICASSP 2026 and plans to link it with its existing media businesses and the AI healthcare platform.

Original release Korean

CITECH ranks first in an IEEE ICASSP AI challenge

CITECH placed first among 22 teams and 27 systems in the Cadenza Lyric Intelligibility Prediction (CLIP) Challenge of IEEE ICASSP 2026.

Original release Korean

Healthcare AI data-analysis technology transferred from ETRI

CITECH received an AI framework for time-series biometric data from the Electronics and Telecommunications Research Institute (ETRI) to build its real-time monitoring and health-prediction platform.

Original release Korean

This page describes the service as presented by CITECH. It does not make medical claims; consult the Korean original and the MyHealth app information for details.

AI Healthcare page Korean

Contact CITECH

Partnership, business and investor inquiries are handled by CITECH headquarters in Seoul.