Ben Andrews
Papers
1
Total Citations
70
H-Index
1
About
Ben Andrews is a leading voice in the ethics of surgical artificial intelligence, whose work has fundamentally shaped how robotic systems are integrated into medical training. His landmark Delphi consensus statement, “Ethical implications of AI in robotic surgical training,” garnered over 70 citations and established a critical framework for responsible AI deployment in the operating room. Andrews’ research bridges the gap between technological capability and moral accountability, focusing on how machine learning can augment—rather than replace—human surgical judgment. By convening international experts to define core ethical principles, he provided the first structured guidelines for AI transparency, patient safety, and trainee autonomy in robotic surgery. His contributions have been instrumental in informing regulatory policies and curriculum design at major teaching hospitals. Beyond this seminal work, Andrews continues to explore the intersection of bioethics, data privacy, and autonomous systems, ensuring that surgical innovation remains patient-centered. His scholarship is essential reading for anyone grappling with the profound moral questions raised by AI in high-stakes clinical environments.
Research Focus
Key Achievements
Top Papers
- 1