Скачать или смотреть New AI Model Detects Melanoma in Darker Skin | SkinWiseNet

🧠 AI in Skin Cancer Detection: Can We Finally Trust It for Darker Skin Tones?

Up to 1 in 10 melanomas in skin of colour or hairy areas still slip past today's AI tools.
But a new model — SkinWiseNet (SWNet) — claims to fix that.

In this video, I (GP with a special interest in dermatology and skin cancer) breaks down the latest research and real-world potential of SWNet, a new AI trained to improve melanoma detection across diverse skin tones and anatomical sites.

🔍 What you'll learn:
✔️ Why traditional AI models miss melanomas in Fitzpatrick V–VI skin
✔️ How SkinWiseNet uses feature-fusion and 4-library training
✔️ What a 5,820-image test revealed (with 99.86% accuracy)
✔️ How many UK melanomas this could help catch each year
✔️ Where the model still needs validation in clinical settings

📚 Sources featured in this video:
– Abdulredah AA et al., BMC Med Inform Decis Mak, 2025
https://bmcmedinformdecismak.biomedce...
– Dermatology Times, Feb 2025 summary
https://www.dermatologytimes.com/view...

some of the images used in this video were generated by AI for illustrative purposes only

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#AIinDermatology #SkinWiseNet #DrFinbar #MelanomaDetection #DarkSkinMelanoma #GPDerm #SkinCancerAI #SkinToneBias #HealthTech #SkinHealth
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Hello, I'm Dr. Finbar, a GP specializing in dermatology with over 20 years of experience. I created this channel to help you achieve optimal skin health and overall well-being by combining lifestyle and medical treatments for the best results.

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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