Evidence map›Paper›PMID 37158388›Full record

ArticleJournal of neurosurgery. Case lessons2023

The first case of glioma detected by an artificial intelligence algorithm running on real-time data in neurosurgery: illustrative case.

Alperen Sozer, Alp Ozgun Borcek, Seref Sagiroglu, Ali Poshtkouh, Zuhal Demirtas, Mehmet Melih Karaaslan, Pelin Kuzucu, Emrah Celtikci

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Alperen Sozer1Department of Neurosurgery.
Alp Ozgun Borcek2Department of Neurosurgery, Division of Pediatric Neurosurgery, Gazi University Faculty of Medicine, and.
Seref Sagiroglu3Department of Computer Engineering, Gazi University Faculty of Engineering, Ankara, Türkiye.
Ali Poshtkouh1Department of Neurosurgery.
Zuhal Demirtas1Department of Neurosurgery.
Mehmet Melih Karaaslan1Department of Neurosurgery.
Pelin Kuzucu1Department of Neurosurgery.
Emrah Celtikci1Department of Neurosurgery.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this paper is to report one of the significant applications of artificial intelligence (AI) and how it affects everyday clinical practice in neurosurgery. The authors present a case in which a patient was diagnosed via an AI algorithm during ongoing magnetic resonance imaging (MRI). According to this algorithm, the corresponding physicians were immediately warned, and the patient received prompt appropriate treatment. OBSERVATIONS: A 46-year-old female presenting with nonspecific headache was admitted to undergo MRI. Scanning revealed an intraparenchymal mass that was detected by an AI algorithm running on real-time patient data while the patient was still in the MRI scanner. The day after MRI, a stereotactic biopsy was performed. The pathology report confirmed an isocitrate dehydrogenase wild-type diffuse glioma. The patient was referred to the oncology department for evaluation and immediate treatment. LESSONS: This is the first report of a glioma diagnosed by an AI algorithm and a subsequent prompt operation in the literature-the first of many and an example of how AI will enhance clinical practice.

Indexed as

artificial intelligencegliomaneurosurgery

Identifiers

PMID37158388
PMCPMC10550689

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.