Evidence map›Paper›PMID 40825884›Full record

ArticleNeurosurgical review2025

Establishing a policy statement on the use of artificial intelligence in neurosurgery.

Ali A Mohamed, Nikita Das, Megan E H Still, Akshay Sharma, Brandon Lucke-Wold, Clemens M Schirmer, Stephen Pirris, Owoicho Adogwa, Daniel Prevedello, Meena Vessell and 1 more

Abstract readEditorialEditorial
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In one paragraph

Article in Neurosurgical review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Artificial Intelligence and the future of clinical trials.Contemporary clinical trials communications · 2025
    Article
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

11 authors.

Ali A MohamedCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA. amohamed2020@health.fau.edu.ORCID http://orcid.org/0000-0002-0977-0365
Nikita DasCase Western Reserve University School of Medicine, Cleveland, OH, USA.
Megan E H StillLillian S. Wells Department of Neurosurgery, University of Florida, Gainesville, FL, USA.
Akshay SharmaDepartment of Neurosurgery, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
Brandon Lucke-WoldLillian S. Wells Department of Neurosurgery, University of Florida, Gainesville, FL, USA.
Clemens M SchirmerDepartment of Neurosurgery and Neuroscience Institute, Geisinger Health System and Geisinger Commonwealth School of Medicine, Danville, PA, USA.
Stephen PirrisDepartment of Neurosurgery, Mayo Clinic, Jacksonville, FL, USA.
Owoicho AdogwaDepartment of Neurological Surgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Daniel PrevedelloDepartment of Neurological Surgery, The Ohio State University, Columbus, OH, USA.
Meena VessellDivision of Pediatric Neurosurgery, Department of Surgery, Texas Children's Hospital, Austin, TX, USA.
Council of State Neurosurgical Societies

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Throughout the past decade, artificial intelligence (AI) has evolved from theoretical use to practical application in various medical specialties including neurosurgery. Given the increasing interest and exploration of AI models at national neurosurgical conferences, outlining policy for the appropriate and ethical use of AI in neurosurgery is warranted. To this end, the Council of State Neurosurgical Societies (CSNS) Workforce Committee convened an ad hoc committee to explore AI in neurosurgery following passage of a resolution at the 2024 fall meeting (Resolution II-2024 F). This editorial discusses the development process, guiding principles, and supporting evidence behind the AI policy statement. The committee conducted a thorough review of current AI tools, their applications, and their potential pitfalls. A review of existing policies from professional bodies was also conducted. The resulting policy emphasizes five core domains based on the committee's findings and the need for structured guidance in those areas. These included responsible use, privacy and security, transparency, academic integrity, and financial conflicts. The committee also conducted original investigations to explore the efficacy of AI use in certain domains that were under explored in the literature, particularly in academics, to inform key positions.

Indexed as

Artificial IntelligenceNeurosurgeryPolicy MakingPractice Guidelines as TopicConfidentialityConflict of InterestHumansReview Literature as TopicSocieties, MedicalAI regulationsHealthcare policyMedical ethicsNeurosurgical guidelines

Identifiers

PMID40825884

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.