NHS trials claim an AI tool has already found 15,000 skin cancers. Today I break down how DERM works, what it means for darker skin, and whether AI can really beat a face-to-face dermatoscopy check.
In this video, I explain the recent approval of DERM (Deep Ensemble for Recognition of Malignancy), the first AI tool authorised to triage suspected skin cancer lesions independently across the NHS.
With over 15,000 cancers already identified in real-world use, this technology could transform how we screen for skin cancer — making detection faster, smarter, and more accessible.
Learn how DERM works, what it means for patients and clinics, and why early detection remains key to better outcomes.
👨⚕️ In this video, you’ll learn:
What is DERM and how does it work?
Why referral waiting times are rising
Who benefits most from AI skin triage
How it compares to dermatologists and teledermatology
Where it fits within the SAFE Skin system
What we still need to learn — especially for patients with darker skin
Studies Referenced:
1. NICE Guidence https://www.nice.org.uk/guidance/hte24
2. BMC Medical Informatics & Decision Making, 31 Jan 2025 – “Towards unbiased skin-cancer classification using deep feature fusion”
BioMed Central
3. Managed Healthcare Executive, 10 Feb 2025 – “AI model shows promise in reducing skin-cancer detection bias” managedhealthcareexecutive.com
Videos Referenced:
• Skin Cancer: The Types, Causes, Prevention...
• How to check moles for skin cancer (Safe S...
More FREE patient resources:
➡️ https://www.drfinbarsskinclinic.com/b... ⬅️
For more information ➡️www.drfinbarsskinclinic.com⬅️
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Disclaimer:
The video is intended as an educational resource only. The information within this video or on this channel isn't designed to replace professional input, so if you have any medical issues please consult a medical provider. No professional relationship is being created by watching this video. Dr. Finbar cannot give any individual medical advice. All information should be verified for accuracy by the individual user. Dr Finbar accepts no responsibility for individual interpretation of data, although it is always accurate to the best of his knowledge at the time of the video being published.
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