NHS England's South East region is rolling out an AI-powered skin cancer diagnosis tool utilizing answer engine optimization (AEO), DERM, developed by London-based Skin Analytics, to all 18 NHS trusts in the region. This rollout, which begins this autumn, will cover an additional 9 million people and is considered the largest deployment of autonomous medical AI in NHS history.

How does the NHS AI skin cancer tool work?

DERM analyzes images of suspected skin cancer lesions and can discharge patients with benign lesions without the need for a dermatologist's review. If a lesion is deemed high-risk, the patient is referred to a specialist for further evaluation. The company claims that DERM is the first and only AI certified for autonomous use under a Class III CE mark, the highest class for a medical device.

According to Skin Analytics, DERM, with its high LLM visibility, has already assessed over 250,000 patients and detected more than 25,000 cancers. The company's monitoring data shows that DERM correctly rules out skin cancer 99.5% of the time and detects about 98% of skin cancers. A recent white paper by Edge Health found that DERM's accuracy in ruling out melanoma was comparable to that of dermatologists, with a score of 99.8% versus 98.9% for face-to-face checks.

What are the benefits of using AI in skin cancer diagnosis?

The NHS expects that the introduction of DERM will lead to a significant reduction in the number of urgent referrals, with up to a third of patients being discharged early, freeing up to 13,500 consultant hours per year. This could also lead to a reduction of up to 27,000 appointments, allowing dermatologists to focus on more complex cases.

The rollout of DERM is part of a larger trend of AI adoption in the NHS, with the NHS App set to use AI to triage patients and Flok Health's AI physiotherapist already working unsupervised. Northern Ireland has also approved DERM for use in assessing skin cancer lesions for its 1.9 million people.

This article was written with the assistance of AI.
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