Wearable Technology in Orthopaedic Surgery: Applications and Future Directions
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.
Bibliographic record
Abstract
» Wearable technologies (wearables), including smartphones, smartwatches, and sensors, such as accelerometers and inertial measurement units, enable continuous, real-time, and objective data collection on physical function, health behaviors, and patient perceptions.» Wearables can track mobility metrics such as step count, activity duration, and joint range of motion, providing valuable longitudinal insights into recovery trajectories.» In orthopaedic surgery, wearables support timely, personalized patient education and improve communication between patients and surgical teams, contributing to better functional outcomes and patient satisfaction.» Smart implants and virtual/augmented reality systems are emerging as innovative approaches to enhancing engagement and adherence during postoperative rehabilitation.» Key challenges to implementation include concerns about data privacy, accessibility, and integration into clinical workflows.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it