AI model predicts next-day migraine risk with 91% precision in large study

• A new study analyzing a very large real-world dataset of Nerivio app users suggests that the AI model can predict next-day migraine risk with 91.2% precision.
• The model found that a person’s headache severity and patterns over the previous 30 days were more informative than prodromal (early) symptoms immediately before an attack.
• The researchers highlight that the technology is intended to help people prepare, not diagnose or change migraine treatment, and note that further research is still necessary.

Migraine is very common in the United States, affecting roughly 12 to 15% of the American population, making it one of the most prevalent neurological disorders in the country.

Migraine attacks often begin with a prodromal phase, which can occur hours or even days before migraine symptoms. Common prodromal signs can include fatigue, yawning, mood or cognitive changes, neck stiffness, food cravings, nausea, and sensitivity to light or sound.

An individual’s recurring prodromal pattern often serves as an early warning that an episode may be developing. Identifying these personal warning signs may allow a person to recognize an impending attack and, when appropriate, initiate an early treatment plan to help reduce the severity or duration of the attack for some people.

Now, a new study suggests that a machine learning model trained on data from more than 53,000 people with migraine could predict whether a person would experience a migraine the following day with 91% precision.

Notably, the findings, published in Neurology Open Access, suggest that a person’s headache patterns over the previous month may provide more useful information about their next-day migraine risk than prodromal symptoms.