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Record W4400893403 · doi:10.1136/jnis-2024-snis.174

E-069 Remotely operated neurovascular robotic system

2024· article· en· W4400893403 on OpenAlexaboutno aff
D. L. Bell

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsNeurovascular bundleComputer scienceMedicineAnatomy

Abstract

fetched live from OpenAlex

<h3>Background</h3> Given the impact and time criticality of Neurointervention, and the relatively small number of operators globally, technology aimed at enabling safe, remote, Neurointervention has great clinical value. A remotely operated Neurovascular robotic system was tested as part of a collaboration between Remedy Robotics Inc., the University of California medical centers. The same system was also tested by two international centers, one in Melbourne, Australia, and the other in Toronto, Canada. The primary goal of the study was to evaluate the feasibility and technical challenges involved in integrating the robotic system into a clinical environment, allowing for multiple remotely located operators to perform complete endovascular navigation from the femoral artery to MCA in a single day. <h3>Methods</h3> Preoperative connectivity checks were performed prior to the procedure. Four remotely located clinicians from hospitals within and outside the University of California (UC) network connected to the robot. Using a silicone phantom, operators controlled up to four devices from the femoral artery to the middle cerebral artery (MCA). Injection of radiopaque contrast and audiovisual communication were also performed. On a separate day, two international operators connected to the robot located in San Francisco and performed the same procedure. Navigation success rate, time to procedural completion, rate of on-site assistance, latency, and other data were recorded. <h3>Results</h3> All 6 remotely located operators successfully navigated from the femoral artery to either the left or right MCA within 15 minutes or less without on-site assistance. All operators successfully injected radiopaque contrast and engaged in audiovisual communication with on-site staff at will without assistance. Connectivity was monitored throughout each case, uncovering two minor episodes of protracted latency. There were no mechanical issues with either the robot or devices meaning that following placement of the first device in the femoral sheath, the robot and devices remained untouched for the duration of all 6 procedures. <h3>Conclusion</h3> This study showcases the effective integration of a next-generation Neurovascular remote system into a clinical setting, highlighting its capability for unassisted navigation from the Femoral artery to MCA by various operators in rapid succession. It also showcases successful transcontinental navigation from nearly 8000 miles away. The study also highlights the challenges and limitations that have impeded the wider adoption of robotic-assisted Neurointervention and remote procedures in general. <h3>Disclosures</h3> <b>D. Bell:</b> 4; C; Remedy Robotics, Inc. 5; C; Remedy Robotics, Inc.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.001

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 head0.009
GPT teacher head0.201
Teacher spread0.192 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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