A team from Jordan University of Science and Technology and Al-Najah National University conducted a bibliometric analysis of AI applications in early detection and risk assessment of noncommunicable diseases. They retrieved publications from Scopus (2000-2024) and used VOSviewer for network mapping to highlight research hotspots and collaboration trends.
Key points
- Scopus query (2000-2024) yields 1,745 publications on AI in early NCD detection, totaling 37,194 citations.
- Annual publication and citation counts exhibit exponential growth, peaking in recent years.
- Core journals include Scientific Reports and IEEE Access; top institutions are Harvard Medical School and China’s Ministry of Education.
- Leading countries are China, USA, India, UK, and Saudi Arabia, with strong USA–India collaboration.
- VOSviewer mapping highlights hotspots like machine learning, deep learning, CNNs, and disease-specific studies in Alzheimer’s and diabetes.
Why it matters: This study offers a panoramic view of AI's growing influence on early NCD detection and risk evaluation, guiding researchers and policymakers toward emerging trends and collaboration opportunities. By mapping key journals, institutions, and hotspots, it informs resource allocation and fosters data-driven strategies to advance proactive disease management.
Q&A
- What is bibliometric analysis?
- How does VOSviewer contribute to this study?
- Why focus only on Scopus data?
- What are noncommunicable diseases (NCDs)?