AI-powered smartphone app could transform skin cancer diagnosis

Tuesday 23 - 15:32

A new artificial intelligence-powered application is expected to significantly transform the way skin cancer is diagnosed, offering fast and accurate screening directly through smartphones.

The technology is designed to help reduce long waiting lists within the United Kingdom’s National Health Service (NHS) by enabling quicker assessment of suspicious skin lesions. A previous version of the system, known as Derm AI, has already been used in clinical settings and reportedly helped detect around 20,000 cancer cases among more than 230,000 patients.

Unlike earlier versions that required specialized camera attachments, the latest iteration operates entirely through standard smartphone devices, making it more accessible for widespread use. The system has also recently achieved a high level of medical device certification in Europe.

Developed by the UK-based health technology company Skin Analytics, the application uses artificial intelligence to analyze images of moles and skin lesions. It has been trained on large datasets of confirmed medical cases, allowing it to distinguish between benign and potentially dangerous conditions with high precision.

The system is designed to flag suspicious cases for further review by medical professionals, while filtering out non-threatening cases to streamline the diagnostic process. According to available data, the technology has demonstrated an accuracy rate of 99.8% in detecting melanoma, one of the most aggressive forms of skin cancer.

Medical experts emphasize that early detection plays a critical role in improving treatment outcomes. Common warning signs include new or changing moles in size, shape, or color, which can appear anywhere on the body but are more frequent in sun-exposed areas.

Clinicians involved in the deployment of the technology have noted that integrating AI tools into diagnostic pathways has improved workflow efficiency and enhanced patient care. They also highlight that smartphone-based screening could expand access to early detection services and reduce delays in diagnosis, particularly in overburdened healthcare systems.