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Record W4405628216 · doi:10.1177/15910199241305691

Exploring robotic advances, applications, and challenges in neuroendovascular surgery: A scoping review of the CorPath GRX system

2024· review· en· W4405628216 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInterventional Neuroradiology · 2024
Typereview
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicinePercutaneousAngioplastyStentAneurysmMedical physicsRadiologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The integration of robotics into neuroendovascular surgery has the potential to revolutionize the field by enhancing precision, reducing procedure-related risks, and improving patient outcomes. The CorPath GRX system represents a significant advancement in this domain. In this systematically conducted scoping review, we explore the current applications, advances, and challenges associated with robot-assisted neuroendovascular surgery. METHODS: A comprehensive literature search was conducted across PubMed, Scopus, Embase, and Web of Science, covering publications from January 2015 to December 2024. Relevant data were extracted from studies involving human subjects and reporting the use of robotic guidance with the CorPath GRX system for neuroendovascular procedures for review and discussion. RESULTS: We identified 14 studies with a total of 336 patients who underwent robot-assisted neuroendovascular procedures, including both diagnostic (48.2%) and therapeutic (51.8%) applications. Among the therapeutic interventions, 140 patients were treated for hemorrhagic pathology, including 128 procedures for unruptured intracranial aneurysms and 12 for ruptured aneurysms. These procedures primarily involved stent-assisted coiling or flow diversion therapy. Additionally, 34 patients were treated for ischemic pathology, primarily carotid artery stenosis, involving balloon angioplasty and stent placement. A tumor was addressed in 1 intervention via coil embolization of tumor feeders, showcasing the versatility of robot-assisted interventions. Technical success rates were high across the studies, with most procedures achieving 100% success. Manual conversions were for device malfunctions or anatomical challenges. Complications reports varied, with some studies detailing specific device malfunctions and others providing less specific accounts. CONCLUSIONS: Overall, the CorPath GRX system demonstrated high feasibility and safety for neuroendovascular procedures, indicating significant potential benefits, particularly if integrated into telemedicine practices. The CorPath GRX system shows promise in facilitating precise and safe neuroendovascular procedures. Current evidence highlights a wide range of benefits; however, further research is needed to investigate long-term outcomes and other potential areas of impact.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.254
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.244
GPT teacher head0.331
Teacher spread0.086 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it