An artificial intelligence (AI) based tool called PredictAI™ has the potential of decreasing the diagnostic time for psoriatic arthritis dramatically, new study has shown.
Researchers in Israel said that the tool can diagnose psoriatic arthritis (PsA) by up to 4 years earlier than before potentially preventing irreversible joint damage and deteriorating function for sufferers.
PsA is a progressive inflammatory condition that effects the joints and connective skin mostly in patients who suffer from psoriasis (a chronic skin disease). The most common symptoms are joint pain and swelling, which can range from mild to severe, but many patients also develop more damaging erosive joint disease and deformities.
The findings from the researchers’ study are being presented today <> at the European Academy of Dermatology and Venereology’s (EADV) Spring Symposium in Ljubljana.1
The study retrospectively researched and analysed the medical database of Israel’s second largest health medical organization with over 2.5 million members. PredictAI™ analysed the medical records of over 2000 confirmed PsA patients in order to train the algorithm which 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.1
The researchers developed this algorithm with the aim of shortening 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 analysing 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.
“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, orthopaedic specialist consultations, lab results and many other