AI IN MEDICINE
Catalysing Knowledge for Malaysia’s AI-Driven Health Future
Universiti Malaya (UM) drives a national transformation agenda in artificial intelligence for healthcare. The UM AI in Medicine Initiative serves as a strategic platform integrating medical sciences, engineering, and data-driven innovation. This initiative positions the university as a leading contributor to the development of advanced, ethical, and contextually relevant AI technologies designed to strengthen Malaysia’s healthcare delivery ecosystem
THE THREE INITIATIVES
These initiatives position the university as a leading contributor to the development of advanced, ethical, and contextually relevant AI technologies designed to strengthen Malaysia’s healthcare delivery ecosystem.
Infrastructure
& Data Safe Haven
Universiti Malaya provides a secure, ethically governed data safe haven for storing and processing sensitive clinical data, ensuring strong privacy protection, strict access control, and high data integrity to enable trustworthy AI development in healthcare. Supported by high-performance storage systems and AI-optimised computing infrastructure, UM delivers advanced computational capabilities that position the university as a national leader in healthcare AI infrastructure across both academic and industrial domains.
Capacity Building
Competencies of clinicians, researchers, and students to effectively engage with AI in healthcare. Through structured training programmes at various levels, UM cultivates the technical, analytical, and ethical skills required to develop, assess, and implement AI-driven medical solutions.
R&D, Advocacy & Action-Driven Strategic Plan
This pillar integrates research, stakeholder advocacy, and targeted national actions to advance safe and impactful AI in healthcare. It provides a structured pathway to guide development, governance, and adoption of AI solutions across the health ecosystem.
AI in Medicine Programme
Running from March to December 2025, the initiative is dedicated to accelerating responsible innovation. Across 18 projects, grouped into sustainable, equitable, and responsible categories, the programme expands Malaysia’s capacity for AI-driven diagnostics, treatment planning, health analytics, and workforce development. Each project is aligned with national priorities and addresses immediate challenges in healthcare service delivery, research efficiency, and digital transformation.
UM Stakeholder Engagement Pathway
UM employs a structured stakeholder engagement model that includes identifying needs, formulating objectives, and designing actionable implementation plans. This pathway ensures that research and technological development are informed by multidisciplinary perspectives—from clinicians and AI scientists to policymakers and industry experts. The model emphasises the co-creation of solutions, ensuring that emerging technologies are clinically relevant, ethically sound, and nationally scalable.
From Pilot Innovations to a National Healthcare AI Framework
The AI Nation 2030: Strategy and Action Plan for Healthcare (AIH) represents Malaysia’s first coordinated, healthcare-specific roadmap for the responsible, scalable, and trusted adoption of artificial intelligence across the health system. Spearheaded by Universiti Malaya (UM) on behalf of the Ministry of Higher Education (MOHE),and co-developed in close collaboration with the MRANTI HealthTech Division representing MOSTI, the roadmap translates research-led innovation into a Whole of- Government execution framework.
National AI Healthcare Management
