We want to help build a future where no one dies from skin cancer.
Skin Analytics is a healthcare company that uses a custom developed artificial intelligence algorithm, DERM AI, to create innovative skin cancer pathways. AI for skin cancer helps to deliver better patient outcomes that are sustainable for health systems globally.
Skin Analytics delivers cutting edge AI for skin cancer detection.
Why Skin Analytics
Artificial intelligence has the power to change healthcare forever.
Skin Analytics has custom developed and medically tested DERM AI to ensure that it is an accurate tool that will help find skin cancer earlier. Using DERM AI means that people needing medical help can get it sooner while also providing peace of mind to those who don’t.
We don’t just say that. We invest time and resources to conduct ground breaking research. This helps to ensure that we deliver a healthcare solution with accuracy that is equivalent to a specialist. Our research focused approach helps us work with clinicians to make a meaningful difference.
What we do
How Skin Analytics Helps
Skin Cancer Facts
Watch our CEO Neil Daly explain how using our technology can help save lives and improve healthcare pathways.
- Non melanoma skin cancer is the most common cancer in the UK.
- Melanoma is the 5th most common cancer in the UK.
- Melanoma is one of the most common types of cancer to affect 15-34 year old people
- In England 470,000 cancer specialist appointments are conducted to find 8,500 melanoma and 30,000 SCC’s
News and Information @ Skin Analytics
Skin Analytics achieves Class IIa UKCA Mark for DERM. The UK’s first and only Class IIa certified AI dermatology device
Now a Class IIa medical device, DERM, uses machine learning algorithms to recognise the most common malignant, pre-malignant and benign skin lesions, including melanoma – the fifth most common cancer in the UK. Using a decade’s worth of research and development on skin lesions, it is designed to accelerate patient diagnosis and relieve pressure on the healthcare system.
10 years. It barely seems credible to me that Skin Analytics is now a decade old. The last two years, in particular, have been such a blur that perhaps it’s a good time to take stock and think back on what we’ve learnt since beginning the company. No 6 St Chad’s...
We were delighted to see research into the publicly available skin cancer datasets many use to train AI systems to assess skin cancer published in The Lancet Digital Health last week. Applying academic rigour to a long known issue around machine learning helps to...