FUSBOTUS: Empirical Studies Using a Surgical Robotic System for Urological Applications
Bibliographic record
Abstract
A custom designed robotic system, FUSBOT‐US (acronym for Focal Ultrasound Surgery Robot), for non‐invasive surgery of deep‐seated cancers of the urological organs was devised at RRC, NTU. This robotic system has modular multi‐axes manipulation components, guiding a set of HIFU transducers through a pre‐determined and image‐guided trajectory. HIFU is applied using extra‐corporeal means with approach to the targets from multiple routes. The robot automatically positions and registers the diagnostic and HIFU probes with respect to each other and with respect to the target in a desired configuration under supervisory control. The user is prompted to select target‐areas on subsequent 2‐D images and the selected protocol is replayed either in manual or auto mode. In laboratory set‐up, the system is tested for tissue phantoms in‐vitro and ex vivo trials. The compensated end‐point accuracy during these trials is accomplished to within 0.5mm.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".