Muhammad Syadad Bin Sulaiman
Papers
1
Total Citations
14
H-Index
1
About
Muhammad Syadad Bin Sulaiman is a biomedical engineer specializing in robot-assisted, image-guided interventions for stereotactic procedures. His research focuses on developing novel navigation systems that enhance the precision and safety of needle insertions in CT-guided interventions, particularly for neurosurgery and oncology. His most-cited work, a 2022 phantom and animal study, introduced a robot-assisted targeting system that operates using image-only navigation—eliminating the need for positional sensors. This breakthrough simplifies clinical workflows and reduces hardware costs while maintaining high accuracy, as demonstrated in rigorous preclinical trials. With 14 citations, this paper has quickly gained attention for its potential to democratize access to stereotactic guidance in resource-limited settings. Syadad’s contributions lie at the intersection of robotics, medical imaging, and translational research, offering a pathway toward more accessible, sensor-free surgical assistance. His work underscores a commitment to bridging engineering innovation with clinical practicality, making him a promising voice in the future of image-guided therapy.
Research Focus
Key Achievements
Top Papers
- 1