Doctors could soon reduce epilepsy misdiagnoses by up to 70% using a new tool that turns routine electroencephalogram, or EEG, tests that appear normal into highly accurate epilepsy predictors, a Johns Hopkins University study has found.
By uncovering hidden epilepsy signatures in seemingly normal EEGs, the tool could significantly reduce false positives—seen in around 30% of cases globally—and spare patients from medication side effects, driving restrictions, and other quality-of-life challenges linked to misdiagnoses.
