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AI Detects Skin Cancer Faster at NHS Clinic
5 Oct
Summary
- AI system speeds up skin lesion analysis, increasing patient capacity.
- AI accuracy is claimed to be 99.9% effective in ruling out melanoma.
- Unnecessary biopsies have decreased by approximately 10% with AI use.
An artificial intelligence system named DERM is revolutionizing skin cancer detection at an NHS clinic in Bradford, UK. Adopted in April, the technology analyzes suspicious skin lesions, enabling clinics to see 32 patients per session compared to the previous 24.
Consultant plastic surgeon Mr Zakir Shariff stated the AI has significantly impacted waiting times and reduced unnecessary procedures. The system, developed by Skin Analytics, reportedly boasts 99.9% accuracy in ruling out melanoma. Healthcare assistants photograph moles, and the AI analyzes them within minutes.
Patients with benign results receive advice, while those flagged as suspicious proceed to a one-stop clinic for specialist review. In Bradford, all images are cross-checked by clinicians. Laurence Patten, a 73-year-old with a history of skin cancer, experienced the system firsthand when his mole was flagged by AI but deemed likely benign by a specialist.
The National Institute for Clinical Excellence (NICE) has recommended the AI for NHS use over the next three years. Currently deployed in 40 NHS trusts, Bradford Teaching Hospitals was the first in Yorkshire to implement it, processing around 5,000 referrals annually, with only 8% confirmed malignant.
