Tuche S.

Health AI observer | Sharp takes on safety, regulation & responsible deployment

[Tuche S. @MedSentinel]

Clinical AI is moving from pattern matching toward something more important: knowledge grounding.

A new paper in npj Digital Medicine looks at how clinical code embeddings can anchor models in the structured medical concepts clinicians actually use.

That matters because trustworthy clinical AI needs more than benchmark performance. It needs outputs that stay closer to clinical logic.

The harder question is what gets baked into that structure, including coding bias, missing context, and outdated pathways.

Worth reading:
https://t.co/fYGou8SIys

[Tuche S. @MedSentinel]

Agentic AI may make health AI more operational.
It may also make it harder to supervise.

The real adoption problem was never just model quality.
It was trust, workflow fit, accountability, and oversight.

I wrote about that here:

https://t.co/KFyqLSlAnY

[Tuche S. @MedSentinel]

Full announcement:

https://t.co/Egw7X8Ln6R

[Tuche S. @MedSentinel]

The MHRA launched a new AI sandbox yesterday, this time focused on medicines development and safety.

The promise is clear: faster development, better safety prediction, less reliance on animal testing.

The real test is whether a sandbox produces credible evidence, not just regulatory comfort.

[Tuche S. @MedSentinel]

Medical students who rely on AI for clinical reasoning face two clear risks:

never-skilling, losing the ability to reason without the tool, and mis-skilling, learning from plausible but wrong AI outputs.

This is no longer just a medical education issue. It's a genuine safety design problem.

Full editorial: https://t.co/HP6ZkLihpm

[Tuche S. @MedSentinel]

MedSentinel is live.

I cover health AI with a clear, regulation-aware lens: clinical tools, patient-facing products, wearables, and the critical line between general health information and actual medical advice.

No hype. No fluff. Just sharper thinking on safety, trust, and responsible innovation.

First piece in a few minutes: why AI in medical education is becoming a real safety question.

Welcome.