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
Clinical Scorecard: Assessment of an AI-Driven System for Systematic Diagnosis of Headache Disorders According to ICHD-3 Guidelines
At a Glance
Category Detail
Condition Headache Disorders
Key Mechanisms AI-driven classification using natural language processing based on ICHD-3 taxonomy.
Target Population Patients with headache disorders in general practice and neurological outpatient settings.
Care Setting Primary care and specialized headache clinics.
Key Highlights
Head.AI utilizes a structured ontology based on ICHD-3 for headache classification. The platform supports multilingual input but standardizes outputs in English. Diagnostic accuracy is enhanced through expert-curated knowledge and prompt engineering. Latency for diagnostic inference is below 2 seconds, facilitating rapid clinical use. Independent validation was conducted using clinical vignettes developed by neurologists.
Guideline-Based Recommendations
Diagnosis
Utilize the ICHD-3 classification for accurate headache diagnosis. Incorporate AI tools to enhance diagnostic accuracy and efficiency.
Management
Implement decision-support systems in clinical practice to assist in headache classification.
Monitoring & Follow-up
Regularly assess the performance of AI-driven diagnostic tools against clinical standards.
Risks
Potential for misclassification if AI tools are not properly validated.
Patient & Prescribing Data
Individuals presenting with various types of headache disorders.
AI tools can aid in identifying headache types, improving treatment targeting.
Clinical Best Practices
Ensure adherence to ICHD-3 guidelines in headache diagnosis. Utilize AI-driven tools to support clinical decision-making. Engage in continuous education on headache classification for healthcare providers.
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