{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T06:27:36Z","timestamp":1785479256533,"version":"3.56.0"},"reference-count":29,"publisher":"IMR Press","issue":"2","license":[{"start":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T00:00:00Z","timestamp":1772064000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Rev. Neurol."],"abstract":"<jats:p>Introduction: Headaches are the main reason for visits to Neurology clinics, and migraine is the most common primary headache. with migraine being the most frequent. Our objective was to develop a computer application (app) that could empower Primary Health Care (PHC) physicians in decision-making regarding migraine. Material and Methods: A rule-based artificial intelligence system was designed to process patients\u2019 responses to the ID-Migraine screener and subsequently determine whether they met the diagnostic criteria for migraine or tension-type headache, according to the International Headache Society. The application, known as CefaleApp, is designed to generate a diagnosis of migraine, tension-type headache, or mixed headache. Results: CefaleApp was validated in 152 patients referred from PHC clinics with a suspected diagnosis of migraine or tension-type headache. Patients were evaluated in the Neurology Department of a secondary-level hospital and in two regional hospitals. Agreement between the diagnosis generated by CefaleApp and that issued by an expert headache neurologist (gold standard) was estimated using Cohen\u2019s Kappa index and the Matthews correlation coefficient (MCC). Overall diagnostic accuracy was 90.8% (95% CI: 85.1\u201394.6%), Cohen\u2019s Kappa index was 0.73 (95% CI: 0.59\u20130.87), and the MCC value was 0.73. Conclusions: The migraine diagnosis generated by CefaleApp shows substantial-high agreement with that provided by the expert headache neurologist.<\/jats:p>","DOI":"10.31083\/rn46506","type":"journal-article","created":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T12:11:13Z","timestamp":1772280673000},"source":"Crossref","is-referenced-by-count":1,"title":["CefaleApp: A Mobile Application for Migraine Diagnosis in Primary Health Care"],"prefix":"10.31083","volume":"81","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2968-5288","authenticated-orcid":true,"given":"Daniel Apolinar","family":"Garc\u00eda-Est\u00e9vez","sequence":"first","affiliation":[{"name":"Servicio de Neurolog\u00eda, Complejo Hospitalario Universitario de Ourense, 32005 Ourense, Espa\u00f1a"},{"name":"Grupo de Investigaci\u00f3n Neurociencias Cl\u00ednicas, Instituto de Investigaci\u00f3n Sanitaria Galicia-Sur (IIS Galicia Sur), Hospital \u00c1lvaro Cunqueiro, 36312 Vigo, Espa\u00f1a"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0603-2842","authenticated-orcid":true,"given":"Baltasar Garc\u00eda","family":"P\u00e9rez-Schofield","sequence":"additional","affiliation":[{"name":"Escuela Superior de Ingenier\u00eda Inform\u00e1tica, Universidad de Vigo, Campus de Ourense, 32004 Ourense, Espa\u00f1a"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nabil Alberto","family":"Sabbagh Casado","sequence":"additional","affiliation":[{"name":"Servicio de Neurolog\u00eda, Complejo Hospitalario Universitario de Ourense, 32005 Ourense, Espa\u00f1a"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"16242","published-online":{"date-parts":[[2026,2,26]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","unstructured":"Sanchez-Del-Rio M, Garc\u00eda-Azor\u00edn D, Peral C, Armada B, Irimia-Sieira P, Porta-Etessam J. 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