Evidence map›Paper›PMID 38345695›Full record

ReviewCurrent pain and headache reports2024

Applications of Artificial Intelligence in Pain Medicine.

Alaa Abd-Elsayed, Christopher L Robinson, Zwade Marshall, Sudhir Diwan, Theodore Peters

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pain and headache reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  7. General Innovations in Pain Management.Journal of clinical medicine · 2025
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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

5 authors.

Alaa Abd-ElsayedDepartment of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, 750 Highland Ave, Madison, WI, 53726, USA. alaaawny@hotmail.com.
Christopher L RobinsonDepartment of Anesthesiology, Critical Care, and Pain Medicine Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Zwade MarshallRegenerative Spine & Pain Specialists, Atlanta, GA, USA.
Sudhir DiwanAlbert Einstein College of Medicine, Lenox Hill Hospital, New York City, NY, USA.
Theodore PetersDepartment of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, 750 Highland Ave, Madison, WI, 53726, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review explores the current applications of artificial intelligence (AI) in the field of pain medicine with a focus on machine learning. RECENT

findingsUtilizing a literature search conducted through the PubMed database, several current trends were identified, including the use of AI as a tool for diagnostics, predicting pain progression, predicting treatment response, and performance of therapy and pain management. Results of these studies show promise for the improvement of patient outcomes. Current gaps in the research and subsequent directions for future study involve AI in optimizing and improving nerve stimulation and more thoroughly predicting patients' responses to treatment.

Indexed as

AnalgesicsArtificial IntelligenceHumansPainPain ManagementAnalgesicsArtificial intelligenceChronic painMachine learningPain medicine

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.