The UK has begun using a robot to scan patients’ wrists and hands, aiming to accelerate the diagnosis of rheumatoid arthritis.
At the Royal Berkshire Hospital in Reading, a robot named “Arthur” performs the scans, while an artificial intelligence program called “Diana” interprets the images and sends the results to clinicians, allowing patients to receive a treatment plan on the same day.
Professor Anthony Chan, a consultant rheumatologist, stated: “We are delighted to be the first healthcare provider in the UK to use the Arthur system. Early diagnosis is crucial, as any delay in treatment can lead to joint damage.”
By utilizing this robotic system, the hospital hopes to increase the number of patients it can see and provide more frequent scans for those with rheumatoid arthritis, enabling better monitoring of their treatment progress.
James Brice, Chief Executive of the NHS trust, remarked: “This technology is currently in use in seven countries worldwide, and we are the first site in the UK to implement it.”
“This investment is intended to leverage technology to deliver tangible improvements for both our patients and our staff.”
“It means we can reach patients sooner and intervene earlier, ultimately helping them live longer, healthier lives.”
The Royal Berkshire NHS Foundation Trust (RBFT) noted that its rheumatology department in Reading currently conducts 200 hand MRI scans annually, with demand for its services continuing to grow year over year.
Professor Chen said: “We can see patients in the clinic on the same day, perform scans, and then make decisions—this doesn’t replace the clinician; it simply aids in decision-making, allowing us to proceed with treatment.”
“It effectively shortens the time to diagnosis, ensuring that treatment is not delayed.”
The trust stated that the robot is part of a broader, ongoing investment in technology at RBFT.
Other examples, the report notes, include a recent investment in a new pharmacy dispensing robot, as well as efforts to leverage artificial intelligence to accelerate the diagnosis of stroke patients.