Medscape April 19, 2024
Rheumatologists and their staff have been dutifully recording disease activity and patient-reported outcomes for decades, and now, all that drudgery is beginning to pay off with the introduction of artificial intelligence (AI) and natural language processing systems that can mine electronic health records (EHRs) for nuggets of research gold and accurately predict short-term rheumatoid arthritis (RA) outcomes.
“I think we have learned from our very early experiments that longitudinal deep learning models can forecast rheumatoid arthritis [RA] outcomes with actually surprising efficiency, with fewer patients than we assumed would be needed,” said Jinoos Yazdany, MD, MPH, chief of rheumatology at Zuckerberg San Francisco General Hospital and co-director of the University of California San Francisco (UCSF) Quality and Informatics Lab.
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