UA
PainCare AI Ukraine 🇺🇦 - is a Ukrainian initiative that combines artificial intelligence, biosensor analysis, and digital patient self-reporting for rapid and objective pain assessment. The platform helps doctors make informed decisions and patients receive personalized care.
Mission
"Implement innovative AI solutions for objective assessment and personalized pain care to improve the quality of life of patients in Ukraine and around the world."
Tilda Publishing
Vision
"To become a leader in artificial intelligence for pain medicine, creating tools that combine science, technology, and empathy for accurate diagnosis, effective treatment, and patient support."
Tilda Publishing
Key values
  • Scientificity
    Based on clinical data and validation.
  • Innovation
    Using the latest AI technologies.
  • Transparency
    Explainable AI
    for the trust of doctors and patients.
  • Human-centricity
    Focus on patient comfort and safety.
  • International cooperation
    Multicenter studies and partnerships.
Our team
  • Andriy Popeleukha
    anesthesiologist, graduate of the National Pirogov Memorial Medical University, Vinnytsya and
    National Technical University of Ukraine
    “Igor Sikorsky Kyiv Polytechnic Institute”, CEO and developer of the Rapid pain assessment tool
  • Dmytro Dmytriiev
    Doctor of Medical Sciences, Professor, Medical Director of the Vinnytsia Oncology Hospital, Expert of the Ministry of Health of Ukraine, Head of the Vinnytsia Pain Treatment Center
Partners
RAPID PAIN ASSESTMENT TOOL
R-PAT
— Where does it hurt?
"Where no one can see," I thought...

Ray Bradbury

R-PAT (START)
❓️ Problem
PAIN is the fifth vital sign, but still:
Subjective and often underestimated
Takes time to evaluate
Not always associated with biopsychosocial
💡 Decision: R-PAT
🧠🤖 R-PAT is an innovative platform for rapid, comprehensive pain assessment using:
Mobile application
or web interface
AI analysis of face, speech, movement and biomarkers
self-filling scales and real-time bioconnection
💼 Advantages R-PAT
Saving the doctor's time (up to 2 minutes/patient)
Standardized and reproducible data
Monitoring progress and response to treatment
Integration with AI to predict pain chronicity
🎯 Target audience
Veterans/patients
with chronic pain
Pain clinics, telemedicine,
military medicine
Rehabilitation, family medicine, palliative care
Modules:
  • Visual module (Face & Pose)*
Recognition of facial expressions, bodily discomfort, posture distortion -
AI facial analytics (Wong-Baker AI, FACS)
  • Biophysiological module
Changes related to pain response:
-HRV (heart rate variability)
-Pupillometry* (pupil)
*prototype
🗺 R-PAT 12-month roadmap
1-3 months
Module optimization
(VAS, HRV, face)
  • Patient/Doctor Interface Design
  • Ethical Protocol Preparation
  • v1.0 with Basic AI Pain Assessment
4-7 months
Pilot testing
  • Testing on 50–100 patients (veterans, chronic pain)
  • Gathering feedback
  • Interface and logic correction R-PAT v1.1, first accuracy reports
8-12 months
AI training and analytics
  • Collection of anonymized data (video, VAS, HRV)
  • Training pain prediction models / treatment effect
  • Building Pain Control Index AI model with accuracy >80%, validation of indices
🧠🤖 R-PAT your partner in accurate, human and digital pain assessment.
R-PAT (START)
Find us on social media
Ukraine, Vinnitsya
E-mail: paincareai@gmail.com