Biography
Irina Aulianisa, MD, MPH, is an Indonesian medical doctor and public health researcher at the Department of Preventive Medicine, Seoul National University College of Medicine. She brings over nine years of cross-sectoral experience in clinical practice, public health, academic research, and the pharmaceutical industry. Irina currently leads a project focused on the implementation, landscape analysis, and economic evaluation of computer-aided detection for
tuberculosis (TB-CAD). She earned her Master of Public Health from Seoul National University. Her research interests center on digital health innovation, tuberculosis diagnostics, and cost-effectiveness modeling.
Key Impacts
A quarter of a century of TB-CAD research: A bibliometric overview of themes, tools, and global partnerships
TB-CAD research has grown rapidly and shifted toward implementation-oriented, artificial intelligence-based diagnostics. Our study highlights research and development trends and identifies research gaps in the expanding field of artificial intelligence and digital tools for TB and global health, supporting TB screening through strategic investment and cross-sector collaboration.
Source: Conference 2024
The current landscape of artificial intelligence-assisted chest radiography for paediatric TB: A scoping review
Current evidence on pediatric TB-CAD remains limited and methodologically inconsistent. There is a pressing need for age-appropriate, validated datasets and standardized diagnostic frameworks. Future research should prioritize clinical implementation, inclusive population representation, and harmonized reporting to improve the use of CAD in pediatric TB detection and care.
Source: Conference 2024
Development of a paediatric TB-CAD evaluation framework: Key updates from a consensus building process
Impact details available upon request.
Source: Conference 2024