AI tool may reduce diagnosis time in psoriatic arthritis
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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.
“Many psoriasis patients themselves might be unaware they have PsA and will contact a general practitioner or an orthopedic specialist about joint or back pain — not linking it with their skin condition particularly since the non-specific nature of these symptoms makes it difficult for a clinician to diagnose upon first presentation,” Jonathan Shapiro, MD, MHA, a dermatologist and manager of the tele-dermatology service at Maccabi Healthcare Services, in Israel, said in the release.
“What PredictAI brings is the opportunity to scan large medical databases and use AI methods to search for clues, such as complaints of joint pain, orthopedic specialist consultations, lab results and many other parameters, that can help to identify an undiagnosed PsA patient up to 4 years before first suspicion of PsA and can detect over 50% of these patients,” he added.
Researchers developed the algorithm with the goal of reducing the time to achieve a clinical diagnosis. Further research to increase the tool’s sensitivity and accuracy are planned, the release said.
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