Patients found to have low-risk legions are then discharged from the urgent referral pathway, freeing up slots for specialist appointments, while those with high-risk lesions have their case reviewed by a dermatologist who decides on an outcome.ĭuring the earlier testing phase the device, which is initially being used alongside clinician assessments, was shown to have helped avoid around 10,000 unnecessary face-to-face appointments. These images are then assessed by the AI in the magnifying lens, which has been trained to recognise the 11 most common lesions.

Trained to recognise common lesionsĪfter a patient is sent for an urgent referral by a GP they will attend an imaging clinic where dermoscopic images are captured. It is hoped the AI will be able to detect skin cancer without the patient needing a face-to-face appointment with a clinician, reducing wait times for assessments.ĭERM has already been used successfully in eight healthcare settings across the country, and there are plans to extend the pilot sites by a further 10 before winter. The magnifying lens assesses a patient’s skin lesions for the presence of cancer in seconds, using Deep Ensemble for the Recognition of Malignancy (DERM). A magnifying lens that uses artificial intelligence can detect skin cancer in NHS patients within seconds, leading to faster diagnosis of the disease.Ī trial of the technology, the only certified AI medical device in the UK, is part of an accelerated NHS rollout of high-res imaging used to diagnose skin cancer.

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