Researchers at the University of Pittsburgh School of Medicine and Carnegie Mellon University College of Engineering have created a machine-learning algorithm that can detect subtle signs of osteoarthritis--too abstract to register in the eye of a trained radiologist--on an MRI scan taken years before symptoms even begin. These results will publish this week in PNAS. With this predictive approach, patients could one day be treated with preventative drugs rather than undergoing joint replacement surgery. "The gold standard for diagnosing arthritis is X-ray. As the cartilage deteriorates, the space between the bones decreases," said study co-author Kenneth Urish, M.D., Ph.D., associate professor of orthopaedic surgery at Pitt and associate medical director of the bone and joint center at UPMC Magee-Womens Hospital.
AI can be used to to determine whether someone will develop Osteoarthritis by analysing cartilage texture three years before it starts wearing away, study found. Researchers from John Hopkins Hospital and others ran an artificial intelligence model over scans of 86 people with no discernible symptoms of osteoarthritis. The machine learning model was about to detect the beginning stages of the condition with 78 per cent accuracy up to three years before symptom onset. In the UK about 8.5 million people have Osteoarthritis, a condition which causes joints to become painful and stiff - particularly in people over the age of 65. If the condition can be detected early a combination of weight loss and exercise could make Osteoarthritis less severe when it happens - or even delay onset.
Osteoarthritis is the most common type of arthritis. Cartilage can sometimes wear down so much that the bones start to rub together. People with osteoarthritis can have joint pain, stiffness, or swelling. Some develop serious pain and disability from the disease. Doctors use a combination of medical history and lab or imaging tests to diagnose the condition.
A 10p (12 cents) patch made from aircraft wings has been hailed the'holy grail' in tackling arthritis. The revolutionary'smart patch' could save sufferers years of pain by detecting the disease early. Scientists have developed the disposable patch using damaged sensors from jet wings to catch the subsonic cracking sounds in joints. Osteoarthritis is the most common type of arthritis. It most often develops in adults who are in their late 40s or older.
Arthritis is inflammation of the joints. With time, inflammation causes the cartilage of the joint to break down. Eventually, the cartilage wears away and bone is left rubbing on bone….ouch. Predicting the development of arthritis is a valuable tool that can be accomplished using MRI. These researchers evaluated the ability of a machine learning algorithm to classify in vivo magnetic resonance images of human articular cartilage for development of osteoarthritis.