Assessment of an AI-Driven System for Systematic Diagnosis of Headache Disorders According to ICHD-3 Guidelines - Takeaways - MDSpire

Assessment of an AI-Driven System for Systematic Diagnosis of Headache Disorders According to ICHD-3 Guidelines

  • By

  • João Brainer Clares de Andrade

  • Thiago Bulhões da Silva Costa

  • Júlia Lima Vasconcelos

  • Thiago Luís Marques Lopes

  • Mateus Dutra Balsells

  • Vinícius Luiz Cristofolini

  • Sophia Oliveira Querobin

  • Flavio Moura Rezende Filho

  • November 27, 2025

  • 0 min

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  • 1

    Headache disorders are common yet often underdiagnosed due to reliance on clinical history and lack of definitive biomarkers.

  • 2

    The Head.AI platform utilizes NLP and a structured ICHD-3 ontology to classify headache disorders, enhancing diagnostic accuracy.

  • 3

    Head.AI was developed using the GPT-4o API, allowing for multilingual input while standardizing outputs in English for broader applicability.

  • 4

    The system's architecture includes prompt templates and internal validation routines to ensure adherence to ICHD-3 diagnostic logic.

  • 5

    An independent validation protocol confirmed the platform's diagnostic performance, utilizing clinical vignettes created by expert neurologists.

Original Source(s)

Assessment of an AI-Driven System for Systematic Diagnosis of Headache Disorders According to ICHD-3 Guidelines

  • by João Brainer Clares de Andrade, Thiago Bulhões da Silva Costa, Júlia Lima Vasconcelos, Thiago Luís Marques Lopes, Mateus Dutra Balsells, Vinícius Luiz Cristofolini, Sophia Oliveira Querobin, Flavio Moura Rezende Filho

  • November 27, 2025

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