로완 | 로완
AI POWERED DIGITAL THERAPEUTICS
Role of AI in Digital Therapeutics
  • Predicting the treatment effect based on the patient’s condition
  • Suggesting the optimal digital therapeutic content for the patient
  • Providing predictions for better treatment methods on recorded treatment data
Development of DTx (Digital Therapeutics)
and Establishment of a Virtuous Cycle System
with Self-Developed AI
AI Model Research and Development

Identifying the potential value in user and therapeutic
content interactions to predict the outcomes of
these interactions

CSF of AI Performance
Real clinical information data, including feedback from medical professionals
  • Rowan’s unique information
  • The birth of a deep learning-based AI model
    capable of predicting treatment effects based on
    the patient’s condition
Patent Application

Method and Apparatus for Recommending Digital Therapeutics Content Using LLM (June 26, 2023)

AI Remedi:
AI Solution for Neuropsychiatric Disorder Treatment
Solution for Analyzing and
Predicting User-Content Interactions
- AI Remedi
  • Dramatically reduces the time required for
    diagnosing and assigning treatment methods for
    patients with mild cognitive impairment
  • Provides tailored content for patients based on
    predictive technology integrated with deep
    learning, offering optimal treatment effects
  • Suggests sustainable treatment methods without
    the limitations of physical resources like medical
    staff or consultation time
  • Enhances treatment adherence by designing
    the optimal curriculum considering personal
    preferences, difficulty levels, and cognitive
    decline levels
AI Remedi with
Dynamic Personalized Optimization
  • M Measurement of user state
  • U All information related to user
  • C All information related to content
  • F Feedback after content usage
  • M0 initial user state
  • Mf final user state
  • The goal of DPO is to improve M
    Identify or select content (C) that effectively maximizes
    Mf improvement through AI Remedi