Google’s announcement of the culmination of three years of work and a subsequent move into skin disease analysis at their developer conference earlier this week has led to a number of people approaching me to ask what does this mean for Skin Analytics?
In this blog as Medical Director of Skin Analytics, I wanted to share with the wider dermatology community our position regarding our regulatory status and why you can safely deploy our medical device DERM.
We believe that all responsible AI companies providing services to the healthcare sector should comply with the code of conduct and we have written our response to the NHS AI Code of Conduct.
ISO 13485:2016 is an internationally recognised quality standard for medical devices and is a pre-requisite for registration as a class II medical device under the MDR. This accreditation represents another important milestone for the company and our mission to help more people survive skin cancer.
In February 2020, skin cancer researchers released a paper calling into question…
The prospective, diagnostic trial saw DERM, our AI platform, correctly identify all malignant lesions (100% sensitivity) with an average AUROC of 95.8% with 65% specificity versus 70% specificity and a 77% AUROC score demonstrated by the clinical experts. DERM, a CE marked medical device, was developed as a tool to aid clinicians in identifying 11 common skin lesion types, including melanoma.
We are delighted to announce that the Skin Analytics have been recognised for their innovative work in AI, by CogX, the world’s leading festival of all things AI and emerging technology.
It is true, we are not a technology company… Perhaps I should explain? When we started our journey to bring better access to high quality
Having CNN come out and spend time with us was very exciting, if a little nerve racking. They asked us some very insightful questions and I believe that we responded with some well thought out answers.
Skin Analytics has been fortunate to work with Digital Catapult as it launched its Machine Intelligence Garage (MIG) programme.
The University of Heidelberg has published a paper in the Annals of Oncology that demonstrates the important role that artificial intelligence (AI) can play in melanoma detection.
QIMR Berghofer has released an online test that helps to identify whether you are at a high risk of developing melanoma within the next 3 and a half years.
The last thing we want to see is innovation being suppressed under volumes of red tape. At the same time, we’re trying to change healthcare, meaning that we’re dealing with people’s health and that’s not an area to “move fast and break things” for fairly obvious reasons.
What do moles look like? Moles can range in colour. They are generally medium to dark brown but can also be skin-coloured or black. The
Telling whether an odd looking mole is a melanoma is a real challenge. In fact, the only sure way to know is with a biopsy.
At Skin Analytics we put all our energy into catching melanoma early. But why? Because if a melanoma grow just a fraction of a millimetre too deep, its much harder to stop.
Vitality Health has recently launched an online GP service for UK customers and we are proud to announce that a Skin Analytics skin check is now part of their suite of diagnostic tests.
A recent US study showed an increased risk of melanoma for those who drank more than one glass of orange juice a day. But before you change your daily routine, there are a couple of important points to make about the study.
