Evidence map›Paper›PMID 39935215›Full record

SynthesisBrain and behavior2025

Ethical Concerns of AI in Neurosurgery: A Systematic Review.

Muhammad Mohsin Khan, Gianluca Scalia, Noman Shah, Giuseppe Emmanuele Umana, Vishal Chavda, Bipin Chaurasia

Abstract readSystematic Review
In one paragraph

Synthesis in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Neuroethics and Neurorights.Annals of medicine and surgery (2012) · 2025
    Article
  7. Review
  8. 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

6 authors.

Muhammad Mohsin KhanDepartment of Neurosurgery, Hamad General Hospital, Doha, Qatar.
Gianluca ScaliaNeurosurgery Unit, Department of Nead and Neck Surgery, Garibaldi Hospital, Catania, Italy.
Noman ShahDepartment of Neurosurgery, Hamad General Hospital, Doha, Qatar.ORCID https://orcid.org/0009-0001-6862-9185
Giuseppe Emmanuele UmanaDepartment of Neurosurgery, Trauma and Gamma Knife Center, Cannizzaro Hospital, Catania, Italy.
Vishal ChavdaDepartment of Medicine, Multispeciality, Trauma and ICCU Centre, Sardar Hospital, Ahmedabad, Gujarat, India.ORCID https://orcid.org/0000-0003-1682-0997
Bipin ChaurasiaDepartment of Neurosurgery, Neurosurgery Clinic, Birgunj, Nepal.ORCID https://orcid.org/0000-0002-8392-2072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe relentless integration of Artificial Intelligence (AI) into neurosurgery necessitates a meticulous exploration of the associated ethical concerns. This systematic review focuses on synthesizing empirical studies, reviews, and opinion pieces from the past decade, offering a nuanced understanding of the evolving intersection between AI and neurosurgical ethics. MATERIALS AND

methodsFollowing PRISMA guidelines, a systematic review was conducted to identify studies addressing AI in neurosurgery, emphasizing ethical dimensions. The search strategy employed keywords related to AI, neurosurgery, and ethics. Inclusion criteria encompassed empirical studies, reviews, and ethical analyses published in the last decade, with English language restriction. Quality assessment using Joanna Briggs Institute tools ensured methodological rigor.

resultsEight key studies were identified, each contributing unique insights to the ethical considerations associated with AI in neurosurgery. Findings highlighted limitations of AI technologies, challenges in data bias, transparency, and legal responsibilities. The studies emphasized the need for responsible AI systems, regulatory oversight, and transparent decision-making in neurosurgical practices.

conclusionsThe synthesis of findings underscores the complexity of ethical considerations in the integration of AI in neurosurgery. Transparent and responsible AI use, regulatory oversight, and mitigation of biases emerged as recurring themes. The review calls for the establishment of comprehensive ethical guidelines to ensure safe and equitable AI integration into neurosurgical practices. Ongoing research, educational initiatives, and a culture of responsible innovation are crucial for navigating the evolving landscape of AI-driven advancements in neurosurgery.

Indexed as

Artificial IntelligenceNeurosurgeryNeurosurgical ProceduresHumansArtificial Intelligenceethical considerationsethicsneurosurgeryregulatory oversightresponsible AIsystematic reviewtransparent decision‐making

Identifiers

PMID39935215
PMCPMC11814476

What OpenQuestion holds

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LicenceCC BY
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.