Purpose of review <p>This systematic review aims to evaluate the effectiveness of artificial intelligence (AI) and device-based interventions in the diagnosis and treatment of migraines and other headache disorders, highlighting their potential clinical applications.</p> Methods <p>A comprehensive search was conducted across PubMed, Cochrane, Web of Science, and Scopus from January 2013 to December 2023, identifying 18 relevant studies. The data were extracted using standardized forms, and a narrative synthesis was performed due to study heterogeneity.</p> Results <p>This review highlights several promising advances in migraine management and diagnosis. Several studies have highlighted key milestones where individuals experiencing migraine with aura, closure of a patent foramen ovale (PFO) using the Amplatzer device was associated with complete relief in 11% of patients. In addition, Diagnostic accuracy also saw notable improvement through the use of artificial intelligence, with correctly identified migraine cases increasing from 66.6% using traditional methods to 96.8% when AI tools were applied. Furthermore, Remote neuromodulation techniques, including Transcranial Magnetic Stimulation and electrical nerve stimulation, provided at least 50% pain relief in 66.5% of patients. Notably, the Precision Olfactory Delivery (POD) system was preferred by 67% of users over traditional nasal sprays.</p> Conclusion <p>AI and device-based interventions showing promising results in enhancing migraine diagnosis and treatment. Clinicians should consider integrating these technologies for patients who do not respond to conventional therapies to offer more personalized and effective treatment. However, due to the study variability and small sample sizes, further research is necessary to confirm their long-term efficacy and to validate their broader clinical application.</p>

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AI-driven therapeutics and novel interventions in migraine: a systematic review of emerging trends

  • Sree Sudha Tanguturi Yella,
  • KSBS Krishna Sasanka,
  • Bhumika Meena,
  • Sumit Pareek,
  • Madhusudan Prasad Singh,
  • M Surya Durga Prasad,
  • Mokanpally Sandeep

摘要

Purpose of review

This systematic review aims to evaluate the effectiveness of artificial intelligence (AI) and device-based interventions in the diagnosis and treatment of migraines and other headache disorders, highlighting their potential clinical applications.

Methods

A comprehensive search was conducted across PubMed, Cochrane, Web of Science, and Scopus from January 2013 to December 2023, identifying 18 relevant studies. The data were extracted using standardized forms, and a narrative synthesis was performed due to study heterogeneity.

Results

This review highlights several promising advances in migraine management and diagnosis. Several studies have highlighted key milestones where individuals experiencing migraine with aura, closure of a patent foramen ovale (PFO) using the Amplatzer device was associated with complete relief in 11% of patients. In addition, Diagnostic accuracy also saw notable improvement through the use of artificial intelligence, with correctly identified migraine cases increasing from 66.6% using traditional methods to 96.8% when AI tools were applied. Furthermore, Remote neuromodulation techniques, including Transcranial Magnetic Stimulation and electrical nerve stimulation, provided at least 50% pain relief in 66.5% of patients. Notably, the Precision Olfactory Delivery (POD) system was preferred by 67% of users over traditional nasal sprays.

Conclusion

AI and device-based interventions showing promising results in enhancing migraine diagnosis and treatment. Clinicians should consider integrating these technologies for patients who do not respond to conventional therapies to offer more personalized and effective treatment. However, due to the study variability and small sample sizes, further research is necessary to confirm their long-term efficacy and to validate their broader clinical application.