Modern medicine is rapidly evolving due to the integration of digital technologies. One of the key centers for developing innovative solutions in this field is the Artificial Intelligence Laboratory, operating under the Center of Advanced Technologies and Strategic Initiatives (CATSI) of the Tashkent Pediatric Medical Institute (TPMI). The platform ic.tashpmi.uz serves as the primary resource providing information on the laboratory’s research, developments, and projects.

Mission of the Laboratory

The Artificial Intelligence Laboratory was established to integrate and develop advanced digital technologies in the healthcare system. The primary focus is on digital solutions in healthcare, data analysis, machine learning, and artificial intelligence. The laboratory works on web applications, mobile solutions, Telegram bots, and specialized AI projects, showcasing its extensive expertise. The main areas of focus include:

  • Utilizing machine learning for disease diagnostics.
  • Developing AI-based medical expert systems.
  • Automating medical image analysis.
  • Creating digital tools to support and train healthcare professionals.

Projects and Content

Web Projects

This section includes various web applications such as interactive calculators (Findrisk, Pedometer), databases for COVID-19 monitoring, and models predicting disease spread (SIR Model). These projects highlight the laboratory’s focus on public health and risk analysis.

Telegram Bots

This section includes tools that provide quick access to medical and informational services via popular messenger platforms. Examples include:

  • Risk assessment for venous thromboembolism.
  • COVID-19 self-diagnosis.
  • Calorie counting.
  • Converting numbers to text.

Using Telegram ensures accessibility to convenient mobile services.

AI Projects

This section demonstrates the application of artificial intelligence algorithms in forecasting and diagnostics. The laboratory develops a wide range of projects, from stroke risk assessment to cancer detection through medical imaging.

Mobile Applications

Android and iOS applications enable users to assess their health status (such as diabetes risk, cardiovascular diseases, stress levels) and receive real-time recommendations.

Key AI Projects of the Laboratory

1. CardioAlert – AI-Based Cardiovascular Diagnostics

One of the laboratory’s most significant projects is CardioAlert, a system based on machine learning algorithms. This technology analyzes electrocardiogram (ECG) data to detect heart arrhythmias and ischemic diseases. Key features include:

  • High-accuracy detection of ECG anomalies.
  • Automatic report generation for doctors.
  • Integration with medical information systems.

2. OncoCare AI – Early Cancer Detection System

This project focuses on early cancer detection using artificial intelligence and computer vision technologies. OncoCare AI analyzes MRI and CT scans to identify tumor sites. Its main advantages include:

  • Automatic tumor classification.
  • Detection of subtle changes invisible to the human eye.
  • Support for decision-making in medical practice.

3. AI-Powered Medical Image Analysis

The laboratory is developing technologies for analyzing X-ray and ultrasound images. Key focus areas include:

  • Detecting pneumonia and tuberculosis through lung X-rays.
  • Assessing internal injuries and pathologies via ultrasound imaging.
  • Identifying vascular abnormalities using angiography.

4. AI-Powered Medical Chatbots

Several intelligent chatbots have been developed by the laboratory to provide healthcare advice. Among them:

  • Covid-19 Checker – A COVID-19 self-diagnosis system.
  • Chatbot Venom Carpini – A bot for assessing thrombosis risk.
  • Food Calorie Calculator – Helps users monitor their diet.

5. Findrisc – AI-Based Diabetes Risk Prediction

The Findrisc system evaluates the risk of developing diabetes based on user data. It analyzes factors such as age, body mass index, physical activity level, and genetic predisposition, providing recommendations for disease prevention.

Future Plans

The laboratory plans to expand its work in the following areas:

  • Integrating AI systems into the national healthcare infrastructure.
  • Improving diagnostic algorithm accuracy.
  • Developing mobile applications for patient self-monitoring.
  • Creating new AI models for personalized medicine.

The Artificial Intelligence Laboratory under TPMI plays a crucial role in the digital transformation of healthcare. Its innovative projects help doctors make more accurate diagnoses and provide patients with precise health recommendations. The integration of AI technologies into medicine is expected to significantly enhance healthcare quality in Uzbekistan and worldwide.