Evidence map›Paper›PMID 40980781›Full record

ReviewCureus2025

Neurosurgery 4.0: A Scoping Review of Current Trends and Challenges in Specialized Smart Hospitals.

Ehab Shabo, Sevgi Sarikaya-Seiwert, Valeri Borger, Matthias Schneider, Hartmut Vatter, Lutz Hager

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ehab ShaboDepartment of Neurosurgery, University Hospital Bonn, Bonn, DEU.
Sevgi Sarikaya-SeiwertSection of Pediatric Neurosurgery, Department of Neurosurgery, University Hospital Bonn, Bonn, DEU.
Valeri BorgerDepartment of Neurosurgery, University Hospital Bonn, Bonn, DEU.
Matthias SchneiderDepartment of Neurosurgery, University Hospital Bonn, Bonn, DEU.
Hartmut VatterDepartment of Neurosurgery, University Hospital Bonn, Bonn, DEU.
Lutz HagerDepartment of Health Care Management, Stiftung Rehabilitation Heidelberg (SRH) Distance Learning University, Riedlingen, DEU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The worldwide increase in neurosurgical conditions, due to global population growth and increased life expectancy, challenges healthcare systems, necessitating more precise diagnostics and personalized treatment strategies despite workforce shortages. While rapid technological progress, particularly in the field of artificial intelligence (AI), holds significant promise for enhancing diagnostics, therapeutic strategies, and administrative efficiency in healthcare, there is a marked absence of comprehensive, field-specific analyses addressing these developments within specialized Smart Hospital environments such as neurosurgery centers. To date, the literature lacks a scoping review that synthesizes current trends, challenges, and opportunities across multiple dimensions, including technological, administrative, financial, and clinical aspects. This study presents the first scoping literature review on current AI implementation in healthcare systems, critically evaluating both its advantages and limitations, and aims to fill that gap by providing a holistic, multidisciplinary overview of the Smart Hospital concept in the context of neurosurgical care, offering a unique contribution to the existing body of knowledge. Additionally, based on a thorough analysis of examples of the most prominent existing Smart Hospital concepts, the study concludes with conceptual considerations and future research directions derived from the literature for the development of a novel, fully AI-driven neurosurgical Smart Hospital concept.

Indexed as

artificial intelligenceneurosurgeryscoping reviewsmart-hospitaltrends and challenges

Identifiers

PMID40980781
PMCPMC12450107

What Socratic holds

Textmetadata
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 Socratic graph.