A new artificial intelligence tool may improve diagnosis speed in patients with psoriatic arthritis, according to a press release summarizing data from the European Academy of Dermatology and Venereology's Spring Symposium 2022. The summarized study was a retrospective investigation and analysis of more than 2.5 million members in an Israeli health care system, the release said. PredictAI, the software in question, analyzed medical records of more than 2,000 patients with PsA. Following training, the tool was tested against a second group of patients. During that testing, the tool accurately diagnosed 32% to 51% of cases between 1 and 4 years before a clinician's diagnosis was received.

A new study finds that utilizing artificial intelligence could allow scientists to detect arthritis earlier. Researchers have been able to teach artificial intelligence neural networks to distinguish between two different kinds of arthritis and healthy joints. The neural network was able to detect 82% of the healthy joints and 75% of cases of rheumatoid arthritis. When combined with the expertise of a doctor, it could lead to much more accurate diagnoses. Researchers are planning to investigate this approach further in another project. This breakthrough by a team of doctors and computer scientists has been published in the journal Frontiers in Medicine.