Samuel Mbabazi
Papers
1
Total Citations
2
H-Index
1
About
Dr. Samuel Mbabazi is a pioneering researcher at the intersection of artificial intelligence and neurosurgery, whose work is shaping the future of precision medicine. His primary research areas include AI-driven diagnostics, machine learning applications in surgery, and the ethical implications of autonomous medical technologies. Dr. Mbabazi’s most cited study, "Effectiveness and reliability of AI in diagnosis and robot-assisted spinal and cranial surgery: efficient outcomes and ethical worries" (2025), critically evaluates the transformative potential of robotic-assisted surgery—demonstrating how AI enhances intraoperative precision and reduces human error while raising essential ethical concerns about accountability and patient safety. This work has already garnered 2 citations in its early publication, signaling growing influence in the field. By bridging technical efficacy with bioethical scrutiny, Dr. Mbabazi provides a balanced roadmap for integrating AI into high-stakes surgical environments. His contributions are particularly notable for advancing both the clinical adoption of robotic systems and the responsible governance of emerging technologies, making him a vital voice for students and researchers navigating the future of AI in medicine.
Research Focus
Key Achievements
Top Papers
- 1