Chiaw Qing Nyam
Papers
1
Total Citations
14
H-Index
1
About
Chiaw Qing Nyam is a pioneering researcher at the intersection of artificial intelligence and interventional radiology, with a primary focus on developing intelligent systems for image-guided procedures. Her most significant contribution is the creation of an AI-guided segmentation and path planning software for transthoracic lung biopsy, a breakthrough that automates critical steps in needle-based interventions. This work, published in 2024, has already garnered 14 citations, reflecting its rapid adoption and relevance in the field. Nyam’s research addresses a pressing clinical need—improving the accuracy and safety of lung biopsies by reducing manual planning errors and procedural time. By integrating deep learning with spatial reasoning, her software enables real-time, patient-specific trajectory optimization, a notable achievement that bridges computational methods with bedside practice. Her work stands out for its translational impact, offering a tangible tool that could redefine standards in minimally invasive diagnostics. For students and researchers, Nyam exemplifies how AI can be harnessed to solve complex medical challenges, making her a key figure to watch in the evolving landscape of computer-assisted surgery.
Research Focus
Key Achievements
Top Papers
- 1