A Comparison Between Wireless CROS and Bone-anchored Hearing Devices for Single-sided Deafness
Bibliographic record
Abstract
INTRODUCTION: This study compared wireless Contralateral Routing of Signals (CROS) hearing aid and bone-anchored hearing device (BAHD) in patients with single-sided deafness. METHODS: Eight adults with single-sided deafness previously implanted with a BAHD were given a 2-week trial with a CROS hearing aid and tested in unaided and aided conditions. Both devices were compared on head shadow effect reduction, speech perception measures in quiet and in noise, self-assessment questionnaires, and daily diaries. RESULTS: Both the CROS and BAHD significantly reduced the head shadow effect. QuickSIN scores were significantly better with noise presented to the poorer ear, as compared to the better ear, for the unaided condition, the BAHD, and the CROS. Scores showed no significant differences between the CROS and BAHD with noise presented to the better ear, but scores with the CROS were significantly poorer than in the unaided condition with noise presented to the poorer ear. There were no significant differences between BAHD and CROS for the ratings on the Bern Benefit in Single-Sided Deafness and Speech Spatial Qualities questionnaires. Both devices were worn an average of 10 hours per day. Four participants preferred the CROS for sound quality; three preferred the BAHD for comfort. CONCLUSION: Comparisons of CROS and BAHD need to be re-evaluated as both technologies have evolved. In our pilot study, both devices seem comparable, with the CROS avoiding the risks of surgery, and we recommend a trial of CROS in our center for first line treatment of single-sided deafness.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".