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Record W3083906475 · doi:10.5489/cuaj.6941

Canadian Urological Association Best Practice Report: Holmium: YAG laser eye safety

2020· article· en· W3083906475 on OpenAlexaffvenueabout
Naeem Bhojani, Sero Andonian, James Watterson, John Dushinski, Bobby Shayegan, Trevor Schuler, Kenneth T. Pace, Ben H. Chew, Hassan Razvi

Bibliographic record

VenueCanadian Urological Association Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsWestern UniversityUniversity of British ColumbiaUniversity of TorontoMcMaster UniversityUniversity of OttawaMcGill UniversityUniversity of CalgaryUniversity of AlbertaUniversité de Montréal
Fundersnot available
KeywordsAssociation (psychology)OptometryHolmiumMedicineLaserOphthalmologyPsychologyOpticsPhysics

Abstract

fetched live from OpenAlex

Since the introduction of the Holmium:yttrium-aluminum-garnet (Ho:YAG) laser over 2 decades ago, it has become an indispensable tool in the urologist's armamentarium. More specifically, in the subspecialty of endourology, the Ho:YAG laser has revolutionized the approach to kidney, ureteral and bladder stones, endoluminal tumours, strictures and benign prostatic hyperplasia (BPH) Since its widespread adoption, and as with other laser wavelengths there have been concerns regarding its safety. In particular, the potential risks of eye injury to patients and operating room personnel have led laser manufacturers and governing bodies (including the Canadian Standards Association (CSA)) to require/mandate that all intraoperative personnel wear laser safety goggles. Despite this recommendation, the actual risk of eye damage associated with the Ho:YAG laser during endourological procedures has not been clearly defined. The objectives of this best practice report are to review the current literature regarding the risks of eye injuries and to provide practical and evidence-based recommendations on eye safety with the use of the Ho:YAG laser. This best practice report was developed in conjunction with members of the Canadian Endourology Group.

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)0.003
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.245
Teacher spread0.230 · 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; both teacher heads agree on what is shown here.

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

Citations14
Published2020
Admission routes3
Has abstractyes

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