About 700,000 women are to be admitted to participate in NHS Artificial Intelligence (AI) breast cancer screening trial in England.

Five different AI platforms will be tested at 30 sites from April to see if technology can speed up diagnosis and also free the radiologist.

This comes when the government started a call for evidence to help shape its national cancer scheme, which is going to start later this year.

AI is already being tested in various ways in NHS, including helping to provide cancer treatment, managing waiting list, and checking cancer scans. However, this is the largest test covering breast cancer.

Women who have already been booked for regular NHS screening will be invited to participate in the health technology (Edith) testing to participate in £ 11m initial detection using information technology.

The screening is offered between 50 and 53 years of age and then every three years until they turn 71 years old.

In appointments, X-rays known as mammograms are taken in search of cancer that are very small to see or feel.

Currently, two radiologists are required to review images from each screening to ensure accuracy.

However, it is expected that AI is being tested, one of the special doctors will enable them to complete the process, will free the radiologist to see more patients and in return, can cut the waiting list. .

Under the screening program, more than two million mammograms are performed a year, so it can have a major impact on the workload of the radiologist.

Professor Lucy Chappell, leading scientific advisor to health and social care, said that the study can create “important steps ahead”.

Health Secretary Wes Streeting said that it should only begin to improve widespread improvement in cancer care.

He said that “immediate action” was needed, he was lagging behind other countries in view of the existence of cancer, “a dedicated to fulfill Britain’s ability as a world leader in saving life from this deadly disease. Promised to publish the National Cancer Scheme.

As that part, the government has launched a call for evidence, urging patients, employees and experts to contribute to ideas. Change NHS website.

However, the Royal College of Radiologist stated that AI had “immense potential”, NHS still needed 30% less of those radiologists, it was required.

“This study will take time to achieve results. The need to create radiology capacity is necessary,” he said.