ITU160 Partner submission: Republic of Uzbekistan

AI-powered telemedicine speeds heart recovery after operations

Submitted by:

D.D Akhmedov, O.A Pekos, N. Ravshanov, Digital Technologies and Artificial Intelligence Development Research Institute, Republic of Uzbekistan


Artificial intelligence (AI) can make a vital difference in the lives of heart patients. From personalized assessments of complications and mortality risks to tailored recovery programmes and better doctor-patient communication, AI offers immense potential to improve post-operative care.

Heart attacks are responsible for over 9.5 million deaths worldwide each year, accounting for more than 15% of total deaths, according to the World Health Organization. While the possibility to save lives during operations has improved over the last decade, the outpatient phase remains a challenge, due to shortages of specialists, facilities and costs to address specific patient needs.

To address these challenges, AI-powered telemedicine can reduce communication challenges between patients and physicians, as well as enable remote health monitoring.

Lifesaving personalized data

This is why the Scientific Research Institute for Digital Technology and Artificial Intelligence Development, under the Ministry of Digital Technologies of Uzbekistan, is developing a telemedicine system for cardiac recovery outpatients.

The system uses AI to predict adverse cardiovascular events, tailor rehabilitation programmes to the severity of each patient’s condition, and remotely monitor patient health and adherence to rehabilitation protocols. It automatically analyses data and adjusts rehabilitation plans based on physiological parameters, medication responses, and exercise tolerance.

The pilot RE.Cardio system – currently being tested at the Republican Specialized Scientific and Practical Medical Center of Cardiology – includes a web application for cardiologists and a mobile app for patients. Already, it is motivating patients to actively participate in their recovery. The next step is a transition from isolated machine learning algorithms to fully integrated deep learning models.

The project aims to develop and integrate personalized:

  • Diagnostics – with a neural network model analysing patient data and reducing recurrence of heart attacks or complications.
  • Recovery programmes – with a deep learning model enabling individualized, year-long cardiac recovery programmes and adjusting physical activity goals, medication regimens, and dietary recommendations based on each patient’s progress and disease trajectory.
  • Language options – with a large language model (LLM) enhancing text and voice interactions, improving system analytics and offering personalized advice in Uzbek, Karakalpak and Russian.

Language options for voice interactions are especially important as many elderly patients face challenges using touch-based mobile app interactions.

How ITU supports the healthcare ecosystem

Standards and guidelines from the International Telecommunication Union (ITU) are crucial for the growing the integration of AI and telemedicine in healthcare.

Unified data transmission standards, enhanced cybersecurity, and innovative digital technologies all help create the global ecosystem for effective AI use. Coordination through ITU is key to scale up these advanced solutions, both internationally and within countries like Uzbekistan.

The resulting cardiac outpatient recovery systems exemplify how innovation can improve health outcomes, quality of life and overall human well-being

Tips to integrate AI in telemedicine

Uzbekistan’s experience provides valuable insights for anyone aiming to develop and implement AI-driven telemedicine for cardiac recovery.

We encourage AI health developers to:

  • Design systems that focus first on patient needs and convenience.
  • Build multidisciplinary teams, ensuring collaboration among clinicians, researchers, data analysts, programmers, and engineers.
  • Keep in mind the significant time and effort needed to manually digitize historical patient records, especially in regions with underdeveloped digital infrastructure.

Done right, AI can extend the lives heart attack survivors, as well as make their recovery more comfortable.

Disclaimer: The views expressed in this article are those of the author(s) and do not necessarily reflect the views of ITU or imply endorsement.