Wei Lin Ng
Papers
1
Total Citations
14
H-Index
1
About
Wei Lin Ng is a rising researcher at the intersection of artificial intelligence and interventional radiology, with a primary focus on developing intelligent software to enhance the precision and safety of minimally invasive procedures. His most notable contribution is the development of an AI-guided segmentation and path planning system for transthoracic lung biopsy, a high-risk procedure for diagnosing lung cancer. This work, published in 2024, has already garnered 14 citations, signaling its rapid impact on the field. By automating the identification of critical anatomical structures and generating optimal needle trajectories, Ng’s software reduces the risk of pneumothorax and improves diagnostic yield. His research addresses a key bottleneck in image-guided interventions—the reliance on operator expertise for complex 3D spatial planning. Ng’s achievements represent a significant step toward integrating machine learning into real-time clinical workflows, promising to make lung biopsies safer and more accessible. As a young investigator, his work is already shaping the next generation of computer-assisted radiology tools.
Research Focus
Key Achievements
Top Papers
- 1