The Core Challenge
How do we design AI that supports medical professionals without overstepping boundaries?
The Goal
Design an AI assistant to support surgeons during procedures and provide post-surgical insights—without disrupting clinical judgment or workflow.
“The AI should never take over. It should support me, not make decisions for me that I do not trust”
Designed with AI (and humans)
Research & Strategic Constraints
Solution Overview: Two modes of AI assistance
- Subtle, context-aware guidance
- No interruptions—just highlights
- Post-op learning tools
- AI-powered guidance system
- Real-time feedback and corrections
- Progress tracking and analytics
Key Design Features
Surgical Procedure Screen
2. AI Control Panel
Results & Takeaways
Surgeons appreciated the non-intrusive approach
Learned how to balance AI suggestions with human expertise
Gained confidence using AI tools to enhance critical UX decision
Designed with trust, ethics, and usability at the center
If the project continued, we’d track:
Surgeon focus (via eye tracking or NASA-TLX)
How often AI prompts were used or skipped
Accuracy of key surgical steps
Speed of critical decisions
Let me know if you’d like to see more—I’m happy to share!
Credits
Deep thanks to Intuitive Surgical for being my primary source of clinical insight and inspiration throughout this project.
Gratitude to Stanford University for providing the ethical foundation and thoughtful frameworks that shaped how I approached AI in high-stakes environments.
And a heartfelt thank-To the three Surgeons (who will remain anonymous) for their openness, honesty, and generosity in sharing real-world surgical experiences that made this work possible.