Michel Kliot

Papers

Total Citations

309

H-Index

About

Michel Kliot is a pioneering neurosurgeon and researcher at the forefront of integrating artificial intelligence into surgical practice. His work centers on the transformative potential of AI and robotics in neurosurgery and general surgery, exploring both their groundbreaking capabilities and inherent risks. Kliot’s most influential contributions include a landmark 2019 study on autonomous robotic surgery, which demonstrated that the Smart Tissue Autonomous Robot (STAR) could outperform human surgeons in suturing tasks—a finding that has garnered 199 citations and reshaped discussions on surgical automation. He also authored a highly cited (110 citations) critical analysis of AI in neurosurgery, outlining how machine learning can revolutionize clinical data analysis and decision-making while cautioning against over-reliance and ethical pitfalls. Through these works, Kliot has positioned himself as a leading voice on the promises and perils of AI-driven clinical automation, bridging cutting-edge technology with patient safety. His research continues to inspire surgeons and engineers to reimagine the operating room, where human expertise and artificial intelligence collaborate to achieve superior outcomes.