AI that learns your uncertainty: a new way to diagnose skin cancer?
NCT ID NCT07468357
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether a personalized AI model can help experienced dermatologists more accurately diagnose skin lesions like melanoma. Fifty board-certified dermatologists will use either a standard AI or a new model that adapts to their individual uncertainty. The goal is to see if the personalized AI reduces misdiagnoses and improves doctor confidence.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI decision support model
- What this could lead to
- If successful, this could lead to better human-AI teamwork in diagnosing skin cancer, reducing misdiagnoses and improving doctor confidence.
- What could go wrong
- This is a small, early-stage study with only 50 participants. The expected accuracy gains are small because the doctors are already highly skilled. The AI may not generalize to other settings.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
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