New research results now published from Lund University's MASAI trial are even better than the initial findings from last year: AI-supported breast screening detected 29% more cases of cancer compared with traditional screening.

AI is already being tested in the NHS in a variety of ways, including helping to deliver cancer treatment, managing waiting lists and checking cancer scans. However, this is the biggest trial yet covering breast cancer.

AI tools like the ones being tested in the EDITH trial could help facilitate the screening process, allowing the NHS to manage its resources better. With around 2.1 million mammogram screenings carried out annually, AI could significantly reduce the time required for each screening, making the system more efficient.

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The NHS is launching the world's biggest trial of AI to detect breast cancer, screening two-thirds of 700,000 women. Five different types of AI will read about 462,000 mammograms at 30 breast cancer screenings later. The other 238,000 will be read in the usual way by two radiologists.

Health chiefs have announced the biggest rollout of artificial intelligence in the NHS in an attempt to speed up breast cancer diagnosis.

According to Breast Cancer Now, about 55,000 women and 400 men are diagnosed with breast cancer every year in the UK. Women are automatically invited for screening between the age