PredictAI – AI Algorithm for Psoriatric Arthrtis

PredictAI™ analyzed the medical records of over 2000 confirmed PsA patients to train the algorithm that was then tested on a separate group of confirmed PsA patients and accurately identified 32-51% of them, one to 4 years prior to a clinician’s diagnosis.

The researchers developed this algorithm to shorten the time to diagnosis, which takes today an average of 2.5 years from the onset of symptoms.2 32% of patients in the study were identified 4 years prior to the diagnosis and 43% one year before a recorded PsA diagnosis by a clinician. When analyzing psoriasis patients’ medical records only, 51% of undiagnosed PsA patients were identified one year prior to first diagnosis.

The study’s authors believe it would make the most impact when used in a primary care setting because the symptoms of PsA may be unspecific compared to rheumatoid arthritis and awareness of PsA may be lacking in community medical practice.

It is predominantly dermatologists who treat psoriasis patients and since 10% of those patients may have PsA but not be aware of it, we have an opportunity to ask about joint pain,” said Dr Jonathan Shapiro, Dermatologist, medical advisor to Predicta Med analytics LTD and manager of the tele-dermatology service in Maccabi Healthcare Services in Israel.

“Many psoriasis patients themselves might be unaware they have PsA and will contact a general practitioner or an orthopaedic 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,” Dr Shapiro explained.

Source: Eurekalert