Evidence map›Paper›PMID 40296978›Full record

ReviewCureus2025

Artificial Intelligence and Robotics in Minimally Invasive and Complex Surgical Procedures: A Systematic Review.

Eman Ibrahim Abdalla Osman, Manasik M ElMurtada Mubarak Ismail, Mohamed Ahmed Hassan Mukhtar, Ahmed Umballi Babiker Ahmed, Nihal Ahmed Abd Elfrag Mohamed, Ali Ahmed Alamin Ibrahim

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. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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  6. 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.

Eman Ibrahim Abdalla OsmanSurgery, Hafar Albatin Central Hospital, Hafar Al-Batin, SAU.
Manasik M ElMurtada Mubarak IsmailGeneral Surgery, Pilgrim Hospital, Boston, GBR.
Mohamed Ahmed Hassan MukhtarEmergency Medicine, Najran Armed Forces Hospital, Ministry of Defense Health Services, Najran, SAU.
Ahmed Umballi Babiker AhmedGeneral Surgery, Najran Armed Forces Hospital, Ministry of Defense Health Services, Najran, SAU.
Nihal Ahmed Abd Elfrag MohamedObstetrics and Gynecology, Armed Forces Hospital, Wadi Al Dawasir, SAU.
Ali Ahmed Alamin IbrahimSurgery, Nile University, Khartoum, SDN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotics and artificial intelligence (AI) are transforming surgery by improving patient outcomes, efficiency, and precision. The use of robotics in surgery tackles important issues, including surgical precision, minimally invasive procedures, and healthcare accessibility, as global healthcare systems embrace AI-driven technologies more and more. However, access gaps and ethical issues with automation continue to exist on a worldwide scale, calling for a fair discussion of these developments. The aim of this systematic review was to summarize the most recent literature on the role of AI and robotics in minimally invasive and complex surgical procedures. The study was conducted as per Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We search for relevant studies across four different databases (PubMed, Scopus, Web of Science, and Google Scholar). We also restricted our search to 2024 to capture the most recent advancement only. We found 393 relevant studies, of which only 12 were included in this study upon assessing them with inclusion and exclusion criteria. The review ensures scientific rigor and openness by evaluating surgical specializations, AI technologies, and outcomes such as accuracy, recovery, and complications. The results show significant progress in AI-powered surgical systems, enhancing judgment, lowering surgical errors, and enabling individualized treatment plans. AI-enhanced visualization, real-time data processing, and automated robotic equipment are notable innovations that boost patient safety and procedure efficiency. The importance of these developments is emphasized throughout the discussion, especially with regard to developing minimally invasive procedures and increasing surgical capabilities for complex surgeries. However, obstacles to broad adoption are cited, including expenses, moral dilemmas, and the requirement for stringent training procedures.

Indexed as

artificial intelligencecomplex surgeriesminimally invasive surgeryroboticssurgical precision and efficiency

Identifiers

PMID40296978
PMCPMC12034508

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.