MOBILE HEALTH AND ARTIFICIAL INTELLIGENCE SOLUTIONS FOR MIGRAINE MANAGEMENT- A LITERATURE REVIEW

Migraine is a common neurological condition that impairs patients' function, creates substantial societal costs, causes disability, and diminishes life quality. The wide range of symptoms, triggers, and treatment responses makes migraine diagnosis and management extremely difficult. The current management strategies rely on patient-maintained diaries, which are prone to recall bias and thus not effective for accurate tracking. Digital technologies, including mobile health applications and artificial intelligence systems, now play a significant role in migraine care, and they are revolutionizing treatment approaches. The new generation of applications uses AI to process biometric and behavioral data to enhance diagnostic accuracy and support individualized treatment plans, thereby supporting both patient autonomy and clinical decision-making. This review evaluates scientific evidence on mobile applications and artificial intelligence systems that support migraine diagnosis, tracking, and treatment. Research indicates the need for randomized controlled trials to establish the clinical value and advantages of these innovative solutions.

Authors

Institutions

Publication Details

Journal
International Journal of Innovative Technologies in Social Science
Published
2025-12-20
DOI
https://doi.org/10.31435/ijitss.4(48).2025.4468
Primary Topic
Migraine and Headache Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MOBILE HEALTH AND ARTIFICIAL INTELLIGENCE SOLUTIONS FOR MIGRAINE MANAGEMENT- A LITERATURE REVIEW

Julia Pawłowska, Anita Pakuła, Kamil Turlej, Laura Kurczoba et al.
International Journal of Innovative Technologies in Social Science
Migraine and Headache Studies
article

MOBILE HEALTH AND ARTIFICIAL INTELLIGENCE SOLUTIONS FOR MIGRAINE MANAGEMENT- A LITERATURE REVIEW

Julia Pawłowska, Anita Pakuła, Kamil Turlej, Laura Kurczoba, Anastazja Orłowa, Marta Cieślak, Anna Baranowska, Klaudia Martyna Patrzykąt, Aleksandra Oparcik, Kinga Szyszka
article en

Abstract

Migraine is a common neurological condition that impairs patients' function, creates substantial societal costs, causes disability, and diminishes life quality. The wide range of symptoms, triggers, and treatment responses makes migraine diagnosis and management extremely difficult. The current management strategies rely on patient-maintained diaries, which are prone to recall bias and thus not effective for accurate tracking. Digital technologies, including mobile health applications and artificial intelligence systems, now play a significant role in migraine care, and they are revolutionizing treatment approaches. The new generation of applications uses AI to process biometric and behavioral data to enhance diagnostic accuracy and support individualized treatment plans, thereby supporting both patient autonomy and clinical decision-making. This review evaluates scientific evidence on mobile applications and artificial intelligence systems that support migraine diagnosis, tracking, and treatment. Research indicates the need for randomized controlled trials to establish the clinical value and advantages of these innovative solutions.

International Journal of Innovative Technologies in Social ScienceVol. 2(4(48))
University of Szczecin (PL), Poznan University of Medical Sciences (PL), Medical University of Silesia (PL), Medical University of Warsaw (PL), Rejonowe Przedsiębiorstwo Wodociągów i Kanalizacji W Sosnowcu (Poland) (PL), Wojewódzki Szpital Specjalistyczny nr 5 im. św. Barbary w Sosnowcu (PL), 1 Military Clinical Hospital with Outpatient Clinic (PL), Heze Municipal Hospital (CN), Grochowski Hospital (PL), Institute of Occupational Medicine and Environmental Health (PL), Pomeranian Medical University (PL)
Openalex Percentile: Top 31%
Migraine and Headache Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.