AI HEALTH
Loading AI Health...
Medical Technologies Artificial Intelligence Hackathon National

AI HEALTH HACKATHON

An inter-university national hackathon dedicated to developing innovative healthcare solutions powered by artificial intelligence technologies. The convergence of IT and medicine!

2–5
team members
24–48
hour hackathon
100
points
AI AI + MEDICINE INNOVATION IN HEALTHCARE

AI HEALTH Hackathon

Integration of Artificial Intelligence and Medicine

The "AI HEALTH" hackathon is organised to develop innovative solutions in healthcare based on artificial intelligence technologies. The hackathon is held in two stages among students of public and private higher education institutions across the republic.


During the hackathon, student teams develop a working MVP or demo version of solutions in areas such as medical data analysis, AI-assisted diagnostics, telemedicine platforms, monitoring systems and disease prediction. Teams with the highest scores are awarded 1st, 2nd and 3rd places.

Hackathon Details

FormatHackathon / Pitch
Duration24–48 hours
Team2–5 members
ParticipantsUniversity students
Stages2 stages
Scoring100 points
Presentation5–7 minute pitch
OutcomeMVP / demo version

Hackathon Objectives

Core objectives at the intersection of artificial intelligence and medicine

Supporting AI Innovation

Fostering innovative developments powered by artificial intelligence in the healthcare sector

IT and Medicine Integration

Advancing the integration of information technology and medicine among students and building practical competencies

Engaging Talent in Start-ups

Identifying talented young people and channelling them into start-up activity

Technology-Driven Solutions

Developing technology-driven solutions for pressing challenges in the healthcare system

Hackathon Tracks

Development across 5 core tracks

01

Medical Data Analysis

AI-powered systems for analysing medical data

02

AI Diagnostics

Developing artificial intelligence solutions for medical diagnostics

03

Telemedicine

Telemedicine and mobile healthcare platforms

04

Health Monitoring

Real-time health monitoring systems

05

Prevention and Prediction

Disease prevention and prediction systems

Hackathon Stages

Conducted in 2 stages

I
Intra-University Selection
Organised independently by each university

Each higher education institution independently organises an internal selection round. Teams with the highest scores receive a referral to Stage II.

  • A project idea description is presented
  • The relevance of the problem is substantiated
  • A technical solution concept is presented
  • A minimal prototype or demo (if available)
II
Festival Final Stage
24–48 hour intensive hackathon

The final stage is held within the festival as an intensive 24–48 hour hackathon or a pitch session based on a completed project.

  • A working MVP or demo version is presented
  • A 5–7 minute pitch presentation is delivered
  • The AI model, algorithm and architecture are explained
  • Judged by the panel on a 100-point scale

Evaluation Criteria

Assessed on a 100-point scale

20

Relevance and Feasibility

Medical or social feasibility, accuracy of scientific and analytical data

25

Innovation and Novelty

Novelty of the presentation, potential for introducing medical and social innovation

25

MVP Availability

Degree to which testing has been completed successfully and medico-social effectiveness has been demonstrated

10

Scientific Rigour

Grounding in scientific evidence, accuracy of engagement with scholarly literature

15

Question and Answer

Responses to the panel members' questions from both scientific and practical perspectives

10

Presentation Quality

Clarity and precision, quality of visual presentation, use of infographics

Key Rules

Important rules and requirements for participants

Team Composition

Each team consists of 2 to 5 members. A participant may be a member of only one team.

University Students

The hackathon is held among students of public and private higher education institutions across the republic.

Judges' Decision is Final

The decisions of the judging panel are final and not subject to review, except in cases of formal appeal.

Plagiarism is Prohibited

If plagiarism is detected, the team is disqualified from the hackathon. Intellectual property rights to the project belong to the team.

Internal Selection

Each university recommends a designated number of teams for the final stage based on the results of its internal selection.

Funding

The hackathon is funded from the festival budget and contributions from sponsors and partner organisations.

Awards Ceremony

Winners are awarded diplomas, certificates and designated prizes

🥇

1st Place

Team with the highest score — diploma, certificate and special prize
🥈

2nd Place

Runner-up — diploma, certificate and designated prize
🥉

3rd Place

Third place — diploma, certificate and designated prize

Transform Healthcare with AI!

Bring your innovative project at the intersection of artificial intelligence and medicine to the hackathon — and shape the future of healthcare!