Evidence map›Paper›PMID 41103850›Full record

ReviewCureus2025

The Role of Robotic-Assisted Surgery in Orthopedic Practice: A Comprehensive Review of Opportunities, Challenges, and Future Directions.

Ahmed Elkohail, Ahmed M Khalifa, Ali Soffar, Ibrahim Omar, Mostafa Abdulaziz, Ahmed Elsaket, Ahmed Elnewishy, Momen Abdelglil, Siddhartha Murhekar, Ahmed Swealem

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

10 authors.

Ahmed ElkohailOrthopaedics and Trauma, Princess Royal University Hospital, King's College Hospital NHS Foundation Trust, London, GBR.
Ahmed M KhalifaCardiology, Frimley Park Hospital, Frimley Health NHS Foundation Trust, Frimley, GBR.
Ali SoffarTrauma and Orthopaedic Surgery, Princess Royal University Hospital, King's College Hospital NHS Foundation Trust, London, GBR.
Ibrahim OmarUrology, Wrexham Maelor Hospital, Wrexham, GBR.
Mostafa AbdulazizCardiology, University Hospital Monklands, Lanarkshire, GBR.
Ahmed ElsaketOrthopaedics, Frimley Health NHS Foundation Trust, Camberley, GBR.
Ahmed ElnewishyTrauma and Orthopaedics, Royal Berkshire Hospital, Reading, GBR.
Momen AbdelglilPediatric Surgery, Mansoura University Children's Hospital, Mansoura, EGY.
Siddhartha MurhekarTrauma and Orthopaedics, Medway NHS Foundation Trust, Gillingham, GBR.
Ahmed SwealemOrthopaedics, North Bristol NHS Trust, Bristol, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic-assisted surgery has emerged as an important innovation in orthopedic practice, offering millimeter-level operative accuracy, enhanced reproducibility, and the potential for improved clinical outcomes. Its applications span joint replacement, spine surgery, trauma fixation, and expanding areas such as oncology and complex reconstructions. Evidence demonstrates superior implant alignment, reduced radiation exposure, and improved perioperative outcomes compared to conventional techniques; however, the long-term functional benefits and cost-effectiveness remain debated. Recent advances, including artificial intelligence, optical navigation, haptic technology, and augmented reality, are expanding the scope and accuracy of robotic platforms. Despite promising outcomes, challenges such as high costs, steep learning curves, and limited accessibility persist, hindering widespread adoption. Future integration of AI-driven decision support, real-time imaging, and more autonomous tactile systems is expected to further personalize and refine orthopedic care. This review provides a comprehensive synthesis of current applications, technological innovations, limitations, and future directions of robotic-assisted orthopedic surgery.

Indexed as

clinical outcomesfuture perspectives in orthopedic roboticsorthopedic surgeryrobotic-assisted surgeryroboticssurgical precision

Identifiers

PMID41103850
PMCPMC12521945

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.