“Our AI tool could turn a foggy diagnostic process into something sharp and focused, giving clinicians the power to make sense of a challenging condition,” senior author Hossein Estiri, PhD, of MGH’s Clinical Augmented Intelligence Group, said in a Mass General Brigham news release. “With this work, we may finally be able to see long COVID for what it truly is—and more importantly, how to treat it.”
Study limitations included potentially incomplete EMR data, lack of capture of possible exacerbation of a pre-existing condition, and uncertainty about when a patient was first infected owing to declines in COVID-19 testing.
Co–lead author Alaleh Azhir, MD, an internal medicine resident at Brigham and Women’s Hospital, said physicians often have to sort through a web of symptoms and medical histories to arrive at a diagnosis in a limited time. “Having a tool powered by AI that can methodically do it for them could be a game-changer,” she said.
