Type
Government
Country
Malaysia
MY
Documents
36
through any edge
Papers
36
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Ministry of Health on the authorship, newest first.
2026-07-23 · 8 authors here
The Feasibility of One-Stage Instance Segmentation for Detecting Oral Potentially Malignant Disorders in White-Light Clinical Photographs: A Proof-of-Concept Study
2026-07-18 · 4 authors here
A GENAI-Driven Health Recommendation and Classification Framework for Digital Healthcare
2026-06-10 · 3 authors here
An Advanced Machine Learning-Driven Web-Based System for Early Detection of Heart Diseases
2026-02-16 · 67 authors here
Research priorities for data science and artificial intelligence in global health: an international consensus exercise
2026-01-01 · 7 authors here
Development of Ethical Guidelines for AI-Assisted Educational Counseling Decisions.
2026-01-01 · 10 authors here
Integrating AI into infection control: Evaluating the accuracy and consistency of four leading platforms across three regions
2025-11-28 · 8 authors here
Building AI readiness for health in Southeast Asia
2025-07-01 · 7 authors here
Exploring Knowledge, Attitude, and Perceptions toward the Artificial Intelligence among Malaysian Clinical-Year Dental Undergraduate Students: A Cross-sectional Survey
2025-05-24 · 5 authors here
Breast Cancer Detection in Computed Tomography Images Using Attention-Based Convolutional Neural Networks
2025-05-24 · 4 authors here
A Deep Auto-Encoder Approach for Prostate Cancer Detection Using Meta-Hybrid Learning and Ensemble Methods
2025-05-24 · 6 authors here
Enhanced Deep Bee Colony Optimization for Accurate Classification and Diagnosis of Cervical Cancer
2025-05-14 · 1 authors here
What Becomes of the Human Touch in the Age of Generative Artificial Intelligence?
2025-05-01 · 1 authors here
Generative artificial intelligence in public health research and scientific communication: A narrative review of real applications and future directions
2025-04-22 · 4 authors here
The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review
2025-01-12 · 10 authors here
A Comparative Analysis of Machine-Learning Algorithms for Automated International Classification of Diseases (ICD)-10 Coding in Malaysian Death Records
2025-01-01 · 4 authors here
Patient Perceptions toward the Application of Artificial Intelligence in Diabetes Care: A Qualitative Study
2024-11-30 · 5 authors here
Unveil the Features Influencing Hypertension Adults in Malaysia using Machine Learning Models
2024-11-17 · 4 authors here
The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review (Preprint)
2024-09-03 · 4 authors here
Patient Attitude on the Application of Artificial Intelligence in Diabetes Care
2024-01-01 · 5 authors here
Machine learning based predictive model of Type 2 diabetes complications using Malaysian National Diabetes Registry: A study protocol
2024-01-01 · 4 authors here
Exploring the psychological motivation fuelling COVID-19 infodemic: A population-based study
2024-01-01 · 4 authors here
Mapping Blockchain Adoption Challenges
2023-12-24 · 2 authors here
Machine Learning Modelling for Imbalanced Dataset: Case Study of Adolescent Obesity in Malaysia
2023-09-05 · 9 authors here
Emerging Cloud-Based Predictive Maintenance for Hemodialysis Reverse Osmosis Purified Water
2023-04-17 · 9 authors here
Ability of ChatGPT to generate competent radiology reports for distal radius fracture by use of RSNA template items and integrated AO classifier
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number