Developing an artificial intelligence-based headache diagnostic model and its utility for non-specialists’ diagnostic accuracy

Abstract

Artificial intelligence improved the non-specialist diagnostic performance. Given the model's limitations based on the data from a single center and the low diagnostic accuracy for secondary headaches, further data collection and validation are needed.