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Record W2153380578 · doi:10.1109/robot.2007.363792

An Ultrasound Probe Holder for Image-Guided Robot-Assisted Prostate Brachytherapy

2007· article· en· W2153380578 on OpenAlexaff
Basem F. Yousef, Rajni V. Patel, Mehrdad Moallem

Bibliographic record

VenueProceedings - IEEE International Conference on Robotics and Automation/Proceedings · 2007
Typearticle
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsProstate brachytherapyBrachytherapyOrientation (vector space)UltrasoundComputer scienceComputer visionPosition (finance)Displacement (psychology)Artificial intelligence3D ultrasoundBiomedical engineeringAcousticsMedicineRadiologyPhysicsMathematicsRadiation therapy

Abstract

fetched live from OpenAlex

An ultrasound probe holder is designed for use in the prostate brachytherapy procedure. The holder comprises a passive-jointed stabilizer that can be used to position, manipulate and lock in place the ultrasound probe, and a tracker mechanism to provide the position and orientation of the probe in 3D space. The information obtained from the integrated stabilizer-tracker mechanism can be utilized in image-guided robot-assisted prostate brachytherapy procedures. Performance tests show that the tracker assembly can acquire the position and orientation of the ultrasound probe with an average displacement accuracy of 0.66 mm and roll, pitch and yaw angular accuracies of 0.24deg, 0.38deg and 0.19deg, respectively.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.041
GPT teacher head0.313
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations6
Published2007
Admission routes1
Has abstractyes

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Same venueProceedings - IEEE International Conference on Robotics and Automation/ProceedingsSame topicSoft Robotics and ApplicationsFrench-language works237,207