Five new medical technology facilities, which will utilize artificial intelligence in expediting disease diagnosis, are scheduled to be launched in the UK in 2019.
The clinics are expected to be opened in London, Glasgow, Coventry, and Leeds with financing from the Department for Business, Energy and Industrial Strategy.
This marks part of the government ’s effort to utilize AI in improving treatments and healthcare.
All the centers will feature software that will help in digitizing biopsies and scans as well as tools that ought to assist in expediting the process of carrying out early diagnosis.
The five new clinics are anticipated to open next year and will be specifically based at NHS facilities and universities. The centers are planned to cost £50 million in total.
One of these centers, the London Medical Imaging and Artificial Intelligence Centre for Value-based Healthcare, is expected to utilize artificial intelligence pattern recognition software in detecting irregularities in scans with the intention of carrying out earlier diagnosis.
READ MORE – Top 10 Ways Artificial Intelligence is Impacting Healthcare
Greg Clark, a business secretary, asserted that the new centers ought to free up additional time for the NHS staff to spend money, primarily on direct patient care.
Matt Hancock, the health secretary, asserted: “Artificial intelligence will play a crucial role in the future of the NHS and we need to embrace it by introducing systems which can speed up diagnoses, improve patient outcomes, make every pound go further and give clinicians more time with their patients.”
“As part of our long-term plan, we will transform the NHS into an ecosystem of enterprise and innovation that allows technology to flourish and evolve.”
Artificial intelligence (AI) has greatly become common in all sections of healthcare and medicine.
Google’s DeepMind and Moorfields Eye Hospital are rolling out an algorithm that would allow computers to evaluate high-resolution 3D scans, particularly those of the back of your eyes, in a bid to identify over 50 eye conditions.
Source: Telegraph
