Assessment of an AI-Driven System for Systematic Diagnosis of Headache Disorders According to ICHD-3 Guidelines
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By
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João Brainer Clares de Andrade
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Thiago Bulhões da Silva Costa
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Júlia Lima Vasconcelos
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Thiago Luís Marques Lopes
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Mateus Dutra Balsells
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Vinícius Luiz Cristofolini
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Sophia Oliveira Querobin
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Flavio Moura Rezende Filho
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November 27, 2025
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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.
References
