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Record W2107121040 · doi:10.1089/end.2008.0019

Digital Nephroscopy: The Next Step

2008· article· en· W2107121040 on OpenAlexfundno aff
Sero Andonian, Zeph Okeke, Maurice Anidjar, Arthur D. Smith

Bibliographic record

VenueJournal of Endourology · 2008
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsnot available
FundersMcGill UniversityJohns Hopkins University
KeywordsMedicineSAFERPercutaneousSurgeryComputer scienceComputer security

Abstract

fetched live from OpenAlex

BACKGROUND: The Hopkins rod-lens nephroscope has been the standard in percutaneous renal surgery. Despite its high resolution, it is bulky when an external camera and light source are attached. Therefore, new technology to make the scopes lighter and more ergonomic is needed. NEW TECHNOLOGY: The new Invisio Smith digital nephroscope is the first digital nephroscope from Gyrus ACMI. It was used for the first time in two patients with caliceal stones. The tip houses dual LED-driven light carriers and a 1-mm digital camera, which obviate the need for an external light source and camera, thus eliminating the risk of drape fires and patient burns. The Smith nephroscope is much lighter (470 g vs. 939 g) and more ergonomic when compared to the standard rod-lens nephroscope. CONCLUSIONS: The Smith digital nephroscope is much lighter, more ergonomic and safer. Long term use is needed to test its durability.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.207

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)0.0000.000

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 head0.040
GPT teacher head0.284
Teacher spread0.244 · 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

Citations20
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of EndourologySame topicKidney Stones and Urolithiasis TreatmentsFrench-language works237,207