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Record W4414450948 · doi:10.1136/jnis-2025-023947

Novel approach in neurovascular navigation: Artiria Medical SmartGUIDE deflectable tip microwire

2025· article· en· W4414450948 on OpenAlexaff
Mohammad Al-Tibi, Shah Islam, Federico Carpani, James Lord, Ahmed Abdelghafar, Dan DeAngelis, Pascal J. Mosimann

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsUniversity of TorontoToronto Western Hospital
Fundersnot available
KeywordsNeurovascular bundleBalloonEmbolizationOff the shelfArteryAneurysm

Abstract

fetched live from OpenAlex

Neurointerventionalists increasingly treat distal vascular targets with complex anatomy. Current guidewires require iterative hand shaping of the tip to navigate microcatheters and devices. Manual shaping often necessitates wire removal and reinsertion, risking wire damage, longer procedural times, increased vessel injury, and higher costs. The Artiria Medical SmartGUIDE 1 enables real time in situ tip deflection, allowing a single wire to reach a wide range of targets without manual reshaping. It can be locked in position to anchor microcatheters at branch points and prevent buckling or herniation, obviating the need for ancillary support devices, such as a balloon or metallic mesh. The wire can also shape and steer microcatheters on demand by torquing from within, potentially reducing risky maneuvers, such as looping within an aneurysm dome. We demonstrate the use of the deflectable Artiria Medical SmartGUIDE microwire in navigating through tortuous ophthalmic artery branches to perform preoperative embolization of highly vascular orbital tumor (video 1). We provide a comprehensive up to date comparison to other real-time steerable devices.2 3 4 5 6 7neurintsurg;jnis-2025-023947v1/V1F1V1Video 1-Artiria Medical SmartGUIDE 0.014'' Deflectable-Tip Microwire.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.299
Teacher spread0.263 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2025
Admission routes1
Has abstractyes

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