Evidence map›Paper›PMID 42077938›Full record

ArticleInternational archives of otorhinolaryngology2026

Robotic-Assisted Surgery in Skull-Base Procedures: Advances, Applications, and Emerging Innovations.

Morad Faoury, Parag Patel

Abstract read
In one paragraph

Article in International archives of otorhinolaryngology, 2026. 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

2 authors.

Morad FaouryDepartment of Otorhinolaryngology - Head and Neck Surgery, St George's University Hospitals NHS Foundation Trust, London, United Kingdom.ORCID 0000-0002-6358-6753
Parag PatelDepartment of Otorhinolaryngology - Head and Neck Surgery, St George's University Hospitals NHS Foundation Trust, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Robotic-assisted surgery (RAS) is increasingly used in skull-base procedures due to its enhanced visualization, precision, and ergonomics, particularly in anatomically-constrained regions. The present narrative review explores the current role and emerging frontiers of RAS in anterior and lateral skull-base surgeries within otolaryngology and neurosurgery. Methods: We conducted a comprehensive narrative review of studies published throughout the past 2 decades on the PubMed, Scopus, and Web of Science databases using keywords such as Results: Robotic platforms-such as the da Vinci and KUKA systems-have demonstrated efficacy in pituitary-adenoma resection, sinonasal-tumor management, cochlear implantation, and mastoid drilling. The benefits reported include improved access, reduced instrument collision, tremor filtration, and enhanced surgical ergonomics. Institutional data and case studies indicate outcomes comparable or superior to those of the traditional approaches in select cases. Nonetheless, challenges remain, including high costs, limited training availability, and technical complexity. Conclusion: Robotic-assisted surgery has demonstrated clinical value in skull-base surgery, and it has the potential of improving outcomes while minimizing surgeon fatigue. Broader adoption will depend on cost reduction, widespread training, and technological advancements. Emerging innovations-including the integration of artificial intelligence, image-guided navigation, and instrument miniaturization-may further expand its usefulness in complex skull-base interventions.

Indexed as

artificial intelligenceminimally invasive surgical proceduresrobot-enhanced proceduresskull-base surgerytechnology

Identifiers

PMID42077938
PMCPMC13132628

What OpenQuestion holds

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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.