Vidith Phillips, Advisor at Oncoscope-AI, shared on LinkedIn:
“AI is entering hospitals faster than it’s entering medical training. And that’s a problem.
This (The Lancet Group) Viewpoint maps out a practical framework for AI education in medicine, one that doesn’t just stop at awareness but builds actionable competency tiers.
3 tiers of AI literacy for clinicians:
- Basic: Know how and when to use AI tools
- Proficient: Critically assess outputs, ethics, and bias
- Expert: Drive innovation through deep clinical + ML fluency
Key takeaways :
- Medical education must shift from memorization → knowledge navigation
- Ethical fluency matters just as much as technical familiarity
- AI literacy isn’t just for radiology, it’s a core skill for all clinicians
- LMICs may need higher AI competency, not lower, to adapt global tools effectively
- Integration is urgent, but must be aligned with local clinical workflows
This isn’t about turning every doctor into a coder. It’s about ensuring every clinician can use, evaluate, and advocate for AI in a way that improves care.
How do we get there?
Early exposure. Role-specific depth. Cross-disciplinary teaching.
If we want clinicians to trust AI, we need to train them to question it first.”
Douglas Flora, President-Elect at Association of Cancer Care Centers, shared Vidith Phillips’s post on LinkedIn:
“Vidith Phillips, thank you for sharing this great paper. I hope scrollers stop to read this important piece.”
