Just hours after Lynsey used the technology, the system flagged a mole<\/a> on her skin as high risk, which was soon revealed to be a deadly melanoma<\/a>. <\/p>\n Lynsey, an office manager at Buckshaw Village Surgery in Preston, Lancashire<\/a>, had been overseeing the rollout of its artificial intelligence skin cancer<\/a> screening service. Curious, she decided to scan a patch of skin that she had largely ignored but that had slowly changed colour.<\/p>\n The system flagged the lesion for urgent review under the NHS\u2019s<\/a> two-week suspected cancer pathway. That same day, Lynsey\u2019s referral was sent off to Chorley Hospital. <\/p>\n \u201cI couldn\u2019t believe it,\u201d she said. \u201cI just kept thinking, what if I hadn\u2019t said anything?\u201d<\/p>\n open image in gallery<\/p>\n Lynsey Robertson ignored her mole for years (Supplied)<\/p>\n The mole didn\u2019t hurt and although friends had occasionally asked about it, she had always dismissed it, assuming it wasn\u2019t serious enough to bother a doctor with. <\/p>\n \u201cI\u2019d had it for years,\u201d she said. \u201cIt wasn\u2019t causing me any trouble. I thought I\u2019d be wasting the GP\u2019s time.\u201d<\/p>\n She was quickly booked in for minor surgery to remove the mole, but was diagnosed days later with malignant melanoma<\/a>, an aggressive form of skin cancer that can spread rapidly through the body. Lynsey then underwent a second procedure to remove all cancerous cells, which was successful.<\/p>\n She is now urging others not to ignore changes in their skin or unusual marks or moles, saying that had she not tested the technology at her office, \u201cwho knows what could have happened\u201d.<\/p>\n Developed by Skin Analytics, the cancer detection system uses AI to analyse images of lesions<\/a> and detect potential signs of skin cancer. The software company claims to have a 99.9 per cent accuracy in ruling out melanoma. <\/p>\n open image in gallery<\/p>\n Skin Analytics developed the Deep Ensemble for Recognition of Malignancy technology (Skin Analytics)<\/p>\n Healthcare workers can take a photo of suspicious patches of skin on a smartphone with a high-quality magnifying lens attached. The images are then assessed by AI<\/a>, and any lesion that is flagged will then be further reviewed by a dermatologist. <\/p>\n The technology, which has been deployed across the country, has been conditionally approved for the next three years and has assessed more than 170,000 NHS<\/a> patients since 2020. <\/p>\n The rapid adoption of artificial intelligence in healthcare<\/a> has sparked debate in the UK as some voice concerns around data security, data bias<\/a>, and a lack of human empathy. In its 10-year health plan for England, the government said it would \u201cmake the NHS the most AI-enabled health system in the world with AI seamlessly integrated into clinical pathways.\u201d <\/p>\n open image in gallery<\/p>\n The NHS employs AI in hospitals and clinics (King\u2019s College London\/PA)<\/p>\n![\"Lynsey](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2025\/09\/Lynsey-Roberston-ignored-her-mole-for-years.png\")
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