Tobias Norajitra
Papers
1
Total Citations
17
H-Index
1
About
Tobias Norajitra is a leading researcher in the intersection of medical imaging, artificial intelligence, and orthopedic surgery, with a primary focus on automated surgical planning and image-guided interventions. His most impactful work centers on the development of a deep learning-based tool for navigated lumbosacral pedicle screw placement, which employs a convolutional neural network to automate the planning process. This contribution, published in 2022 and already cited 17 times, addresses a critical challenge in spinal surgery by reducing manual planning time and improving accuracy, thereby enhancing patient safety and surgical outcomes. Norajitra’s research bridges the gap between computational methods and clinical practice, demonstrating how AI can streamline complex procedures. His work is particularly notable for its validation in real-world surgical contexts, marking a significant step toward autonomous surgical assistance. With a growing citation record, Norajitra is recognized for advancing precision medicine in orthopedics, and his contributions are shaping the future of computer-assisted surgery, making him a key figure for students and researchers interested in AI-driven healthcare innovations.
Research Focus
Key Achievements
Top Papers
- 1