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Application of Artificial Intelligence in the Headache Field.

Keiko IharaGina M DumkriegerPengfei ZhangTsubasa TakizawaTodd J SchwedtChia-Chun Chiang
Published in: Current pain and headache reports (2024)
We briefly introduce machine learning models and commonly used evaluation metrics. We then review studies that have utilized AI in the field to advance diagnostic accuracy and classification, predict treatment responses, gather insights from various data sources, and forecast migraine attacks. Furthermore, given the emergence of ChatGPT, a type of large language model (LLM), and the popularity it has gained, we also discuss how LLMs could be used to advance the field. Finally, we discuss the potential pitfalls, bias, and future directions of employing AI in headache medicine. Many recent studies on headache medicine incorporated machine learning, generative AI and LLMs. A comprehensive understanding of potential pitfalls and biases is crucial to using these novel techniques with minimum harm. When used appropriately, AI has the potential to revolutionize headache medicine.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • human health
  • case control
  • electronic health record
  • climate change
  • current status
  • combination therapy
  • data analysis