Projects

Next-Gen Intelligence for Life-Saving Decisions.

With twelve 'Mission-Oriented Research' projects already underway, the initiative is actively testing its framework across various medical fields. These pilot cases provide a robust demonstration of the framework's viability and its ability to deliver targeted medical breakthroughs.

Number of projects found:

AI-Driven Thyroid Ultrasound: A Prospective Study Evaluating Performance in Identifying High-Risk Thyroid Nodules in Clinical Practice

The first AI-driven thyroid ultrasound diagnostic system

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AI-Enabled Clinical Decision Support for Osteoarthritis Precision Diagnosis and Treatment

Integrating AI with molecular science for earlier detection of osteoarthritis.

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Advancing Early Breast Cancer Detection through Intelligent Hyperparameter Optimization Using MSPO

AI-Based Breast Cancer Diagnostics Using Optimised Machine Learning Methods.

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Capacity Building for Digital Health: Producing Technologically-Adept Healthcare Workers in Malaysia

Microcredentials for AI Skills in Clinical Practice

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Deployment of a Deep Learning-Based Unified Healthcare Data Fusion System for Heart Failure Prediction in UMMC

AI-Enabled Early Detection of Heart Failure Risk

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Developing a Robust Artificial Intelligence (AI) Powered Preconsultation Clinic Tool to Reduce Outpatient Clinic Waiting Times and Improve

Clinician-Led AI Onboarding Platform for Orthopaedic Care

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Development and Design of Navigasi Kanser Malaysia (NavKanMy) an AI-Empowered Person-centric and Gender Responsive Digitalised Cancer Navigation Program in the Klang Valley

A Web-Based Digital Prototype Developed to Support Breast Cancer Screening and Early Diagnostic Navigation

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Development of a Biomedical Engineering Elective Module on AI for Medicine

The Clinical-AI Engineering Lab: Integrating Edge AI and Hardware into the Medical Engineering Curriculum

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Development of a Data Safe Haven for Medical AI Research

Universiti Malaya Healthcare Data Safe Haven (UM-HDSH)

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Development of a Transdisciplinary Collaborative Program for Undergraduate and Postgraduate Students for AI Problem-Solving Projects in Medicine

AI in Medicine Bootcamp: Seeding Interdisciplinary Talent for Real-World Healthcare Innovation

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Development of an Electrical Engineering Elective Module on AI for Medicine

Incorporating Real-World Clinical Data into Biomedical Engineering Education

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Empowering the Healthcare with AI Mastery

Building Practical AI Capability in Medical Image Analysis

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Establishment of an AI in Medicine Upskilling Summer School for MBBS and Related Graduates

AI in Medicine Summer School: Building Interdisciplinary Talent for Future Healthcare

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Machine Learning-Based Prediction of Nasopharyngeal Carcinoma Recurrence.

Machine Learning-Based Prediction of Nasopharyngeal Carcinoma Recurrence

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MalariaCare+ : An End-to-End AI System for Personalized Diagnosis and Monitoring of Plasmodium knowlesi

MalariaCare+: AI-Enabled Diagnosis for Rural and Remote Malaysia

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My-VIP: AI Generated Virtual Patient

UMHealth Virtual Patient (MyViP@UM):m A Faculty-Curated, AI-Enabled Dual-Avatar Platform for Clinical Reasoning

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Next-Generation AI-Driven Unified Cancer Data Ecosystem and Framework for Clinical Service and Research in Malaysia

Building the Talent Backbone for AI in Medicine: Modular Electrical Engineering Electives for the Healthcare Future.

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Novel Home-Grown AI-assisted Platform for Diabetic Retinopathy Diagnosis and Pharmacotherapy / Management Monitoring

AI-Enabled Diabetic Retinopathy Screening and Diagnosis.

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Prediction of CNS Relapse in Childhood Acute Lymphoblastic Leukemia using a Machine Learning Algorithm

Transcriptomic-Guided Prediction of Relapse in Paediatric Acute Lymphoblastic Leukaemia (ALL)

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RADAR - AI-Driven RAdiomics-Dosiomics Framework for Objective and Personalised Adaptive Radiotherapy in Nasopharyngeal Carcinoma

Predictive Adaptive Radiotherapy for Nasopharyngeal Carcinoma: An AI-Driven Longitudinal Imaging Pipeline

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Scoping Review on Policy Frameworks for AI in Healthcare: A Malaysian Approach

A Faculty-Curated, AI-Enabled Dual-Avatar Platform for Clinical Reasoning

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Stakeholder Engagement to Inform a Comprehensive and Sustainable National Roadmap for AI in Medical Applications in Malaysia

A National Action Plan for Trusted and Scalable Healthcare AI

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The Upgrade of UM’s Data Intensive Computing Center (DICC)

Data Intensive Computing Centre: Powering AI-Driven Research and Healthcare Transformation

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