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Vidith Phillips: AI is entering hospitals faster than it’s entering medical training – and that’s a problem
Apr 24, 2025, 17:27

Vidith Phillips: AI is entering hospitals faster than it’s entering medical training – and that’s a problem

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:

  1. Basic: Know how and when to use AI tools
  2. Proficient: Critically assess outputs, ethics, and bias
  3. 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.”