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Record W2012932038 · doi:10.1255/jnirs.963

The Evolution of Wireless near Infrared Spectroscopy Applications in Urology and Rationale for Clinical Use

2012· article· en· W2012932038 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

VenueJournal of Near Infrared Spectroscopy · 2012
Typearticle
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsInternational Collaboration On Repair DiscoveriesUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsSpectroscopyFunctional near-infrared spectroscopyNear-infrared spectroscopyComputer scienceMedical physicsMedicineIntensive care medicinePsychologyNeurosciencePhysicsCognition

Abstract

fetched live from OpenAlex

Near infrared (NIR) spectroscopy is an established non-invasive optical technique for measuring changes in haemoglobin concentration occurring in the microcirculation in real time. NIR spectroscopy parameters reflect change in tissue haemodynamics and oxygenation and can contribute important physiologic insights when used alone or interpreted in parallel with other conventional measurements. The broad use of NIR spectroscopy in research is not matched by clinical applications; reasons include limitations inherent to the technique, using instruments designed for research at the bedside, ambiguity regarding what NIR spectroscopy measures, deficiencies of early algorithms, and understandable expectations by clinicians that NIR spectroscopy data are reproducible and specific enough for clinical decision making. Such issues could be addressed by appropriate collaboration where clinicians drive the questions which NIR spectroscopy is to answer, researchers contribute to monitoring methodology, device design and data analysis/algorithms and both groups utilise physiologic knowledge and practical lessons learned from prior NIR spectroscopy studies when interpreting data. NIR spectroscopy applications in urology are recent and offer clear opportunities for clinicians and researchers to collaborate. Urology is a field where current clinical investigations are limited in terms of the physiologic information they provide and because the principal test used for evaluation of the many people who have problematic lower urinary tract dysfunction is invasive in nature. Hence the rationale for non-invasive transcutaneous optical monitoring of the bladder during voiding as, when the organ contracts, changes in oxygenated and deoxygenated haemoglobin occur which allow haemodynamic variations and alterations in oxygen supply and demand to be inferred. Different patterns of change are evident in healthy and diseased tissue; these patterns reflect the effects of physiologic events observed using NIR spectroscopy to study other tissues and provide novel insights into the causation of voiding dysfunction. This review of the evolution of a wireless methodology for bladder studies includes examples of effective clinician researcher collaboration, reveals how miniature NIR spectroscopy devices make monitoring in ambulant subjects straightforward and makes possible studies in special populations such as children and patients with spinal cord injury. Hence, such wireless devices represent an advance of relevance in urology and an opportunity to expand research in other fields and progress with translation of NIR spectroscopy into other relevant clinical arenas.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.417

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.032
GPT teacher head0.358
Teacher spread0.325 · 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