Mr. Onur Gilleard
Qualifications & Experience
Mr Onur Gilleard is a distinguished consultant plastic surgeon on the GMC specialist register. He previously held an NHS consultant post at St Bartholomew’s Hospital in London, specialising in skin cancer and microsurgical reconstruction. In 2021, Mr Gilleard transitioned from the NHS to dedicate himself fully to private practice, allowing him to focus exclusively on providing personalised, high-quality care to his patients. He is recognised as an expert in laser treatments, having conducted research and developed advanced treatment protocols using cutting-edge laser technology to optimise both clinical outcomes and cosmetic results.
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AI dermatoscopy pairs high-magnification skin imaging with software trained on large libraries of confirmed
lesions, scoring how suspicious a mole looks and flagging it for a clinician. At London Skin Clinic it is used as
an objective second reader alongside FotoFinder mole mapping — never as a replacement for the
consultant. Used well, AI improves consistency and helps catch subtle change; used as a standalone “diagnosis”, it
misleads. This guide explains what AI dermatoscopy genuinely does, its accuracy, and where its limits lie.
What AI Dermatoscopy Is
A dermatoscope captures a magnified image of a mole’s sub-surface structures; AI software then analyses that image
and assigns a risk score, based on patterns learned from thousands of confirmed benign and malignant lesions. In
mole mapping, the AI also compares images over time to flag change. It is the analytical layer on top of
dermoscopy.
How Accurate It Is
In clinical studies, leading systems such as FotoFinder’s Moleanalyzer Pro have shown high sensitivity for
flagging melanoma — meaning they rarely miss a genuinely suspicious lesion. That makes AI a strong safety net. But
sensitivity is only half the story: AI also flags benign lesions (false positives), which is exactly why a
consultant interprets every score rather than acting on it blindly.
Its Role — and Its Limits
At London Skin Clinic, AI dermatoscopy supports the consultant; it does not diagnose, decide what to remove, or
replace a biopsy. A score is one input among the clinician’s judgement, your history and the dermoscopic picture.
The full service is described in our FotoFinder mole mapping guide.
Book mole mapping at Harley Street.
Common Questions
- Can AI diagnose skin cancer on its own?
- No. AI dermatoscopy scores how suspicious a mole looks and flags it for review, but it does not diagnose. A diagnosis still requires a consultant’s assessment and, for a suspicious mole, removal and laboratory analysis.
- How accurate is AI dermatoscopy?
- Leading systems show high sensitivity for melanoma in studies, making them a valuable second reader. They also produce false positives, so a consultant interprets every result rather than relying on the score alone.
- Does AI replace the doctor?
- No — and it shouldn’t. The best results come from combining AI’s consistency with a consultant’s clinical judgement. At London Skin Clinic, every AI-flagged lesion is assessed in person by a consultant plastic surgeon.
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