Project Details


AI Repository Project

WSIS Prizes Contest 2025 Champion

MyHeart: AI-Powered Predictive System for Cardiovascular Health


AI for Heart Health: Predicting Cardiac Events and Mortality in Malaysia

Description

MyHeart is Malaysia’s first AI-driven cardiovascular risk prediction system, designed to forecast Acute Coronary Syndrome (ACS) occurrences and Cardiovascular Disease (CVD) mortality, including the impact of air pollution on ACS deaths. Unlike conventional risk scores such as the Framingham Risk Score (FRS) and TIMI, which are derived from Western populations and lack relevance for Malaysians and Asians, MyHeart AI is built using multi-ethnic Malaysian data, ensuring higher accuracy and applicability for local healthcare needs. Its insights and predictive capabilities are also applicable to neighboring Southeast Asian countries, which share similar ethnic diversity and environmental factors affecting cardiovascular health.

The system integrates explainable AI, enhancing trust and transparency by helping clinicians understand key risk factors. It also features an interactive chatbot for real-time engagement, a Google Earth-based visualization tool for mapping air pollution and hospital admissions, and report download capabilities for healthcare providers and patients. Fully web-based and mobile-friendly, MyHeart enables seamless clinical and personal health monitoring.

With superior accuracy, sensitivity, and specificity compared to conventional methods, MyHeart AI has been validated in top-tier journals. By enabling real-time risk assessment, personalized health insights, and improved clinical decision-making, it revolutionizes cardiovascular care in Malaysia and across Southeast Asia, making AI-powered predictive analytics an essential tool for modern healthcare.

Project website

https://myheart.uitm.edu.my/


Images

Action lines related to this project
  • AL C1. The role of governments and all stakeholders in the promotion of ICTs for development
  • AL C3. Access to information and knowledge
  • AL C4. Capacity building
  • AL C6. Enabling environment
  • AL C7. E-health 2025
  • AL C7. E-environment
  • AL C10. Ethical dimensions of the Information Society
Sustainable development goals related to this project
  • Goal 3: Good health and well-being
  • Goal 9: Industry, innovation and infrastructure
  • Goal 10: Reduced inequalities
  • Goal 13: Climate action

Coverage
  • Asia and Pacific

Status

Ongoing

Start date

2017

End date

2030


Target beneficiary group(s)
  • Older persons
  • The poor
  • Remote and rural communities

Sustainability

The MyHeart AI project ensures long-term sustainability through a multi-faceted approach:

1. Technological Sustainability
Scalable and Upgradable: Web-based and mobile-friendly, allowing seamless integration with healthcare systems and future updates.
Interoperability: Compatible with diverse healthcare platforms to ensure widespread adoption.
2. Operational Sustainability
Capacity Building: Training tools for healthcare professionals ensure effective use and long-term adoption.
Explainable AI: Transparent outputs build trust and foster continued usage.
Public Health Integration: Aligns with government healthcare initiatives to maximize impact.
3. Financial Sustainability
Cost Savings: Early detection reduces healthcare expenses for both institutions and individuals.
Funding and Partnerships: Supported by government grants, private collaborations, and NGOs.
Revenue Generation: Subscription-based models for hospitals and clinics ensure ongoing funding.
4. Environmental Sustainability
Air Pollution Mitigation: Links cardiovascular health with pollution data, guiding policy improvements.
Eco-Friendly Operations: Digital-first design minimizes resource use and environmental impact.
5. Community and Regional Impact
Localized Focus: Tailored for Malaysia, with applicability across Southeast Asia.
Health Equity: Extends healthcare access to underserved areas, reducing disparities.
6. Ethical and Social Sustainability
Regulatory Compliance: Adheres to strict data privacy standards for ethical operations.
Patient Engagement: Features like chatbots and visual tools empower users to take proactive health measures.


WSIS values promotion

MyHeart AI aligns with WSIS values, leveraging AI and digital health innovation to enhance cardiovascular disease (CVD) prevention, healthcare accessibility, and evidence-based decision-making in Malaysia. It supports universal healthcare, digital inclusion, and sustainable medical innovation. Bridging the Digital Divide (C3 & C7 – Access to Information & E-Health) Provides AI-powered tools to hospitals and clinics for equitable cardiovascular screening. Expands healthcare access to rural areas, reducing disparities with early diagnosis and prevention. Empowering Healthcare Professionals & Patients (C4 – Capacity Building) Doctors: Improve diagnostic accuracy and treatment planning with AI-assisted tools. Patients: Encourage proactive health monitoring through self-assessment tools. Advancing Public Health Policies (C7 – E-Health & Governance) Offers AI-driven insights to optimize health strategies and resource allocation. Links air pollution data to cardiovascular outcomes for better policymaking. Driving Innovation for Social Good (C6 – Enabling Environment) Malaysia’s first AI-based CVD risk predictor sets benchmarks for healthcare innovation. Contributes cutting-edge research, positioning Malaysia as a leader in AI healthcare. Ensuring Sustainability (C10 – Ethical Digital Transformation) Web-based and mobile-friendly for long-term usability and accessibility. Supports Malaysia’s digital healthcare transformation with AI-powered solutions. Community Impact MyHeart AI enhances healthcare efficiency and equity, enabling life-saving interventions and fostering digital inclusion. It represents a transformative step toward a healthier, AI-powered future for Malaysia and beyond.


Entity name

Universiti Teknologi Mara (UiTM) and Universiti Malaya (UM) (UiTM & UM)

Entity country—type

Malaysia Academia

Entity website

https://uitm.edu.my/index.php/en/