Evidence map›Paper›PMID 40009302›Full record

ReviewCurrent pain and headache reports2025

Artificial Intelligence and Predictive Modeling in the Management and Treatment of Episodic Migraine.

Aniket Natekar, Fred Cohen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pain and headache reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Aniket NatekarDepartment of Neurology, OhioHealth Physician Group, Columbus, USA.
Fred CohenDepartment of Neurology, Mount Sinai Hospital, Icahn School of Medicine at Mount Sinai, New York, USA. fredcohenmd@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewArtificial intelligence (AI) has impacted different aspects of headache medicine, from history taking and diagnosis to drug development. AI has been shown to have predictive modeling in helping diagnose migraine and assist with patient care. Additionally, this technology has been adapted to help non-headache specialists with headache management. Similar practices have expanded to help diagnose cluster headache. AI has also been used to help streamline patient visits, and identify new drug targets. RECENT

findingsVarious forms of AI models have been implemented in headache medicine; these have ranged from diagnosis engines to models helping track headache triggers. Additionally, AI has been used to assist in clinical trials and to help predict placebo responses to different medications. There are still several limitations with AI in setting of headache medicine. AI and diagnosis models have a role to play in headache medicine. However, technology is still in its infancy and limitations do exist.

Indexed as

Artificial IntelligenceMigraine DisordersHumansArtificial intelligenceHeadacheMachine learningMigrainePredictive modeling

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.