Telemedizin in der akuten Schlaganfallversorgung
Bibliographic record
Abstract
Telemedicine is increasingly being utilised for the remote evaluation of stroke patients, particularly in neurologically underserved areas. It is usually based on video examination and teleradiological evaluations of brain scans. Scientific analyses have demonstrated the reliability of neurological scores assessed via videoconference. Teleradiology using electronically transmitted original imaging data is potentially equivalent to onsite assessment. Intravenous thrombolysis can be indicated with similar results as in experienced stroke centres if both technological and professional quality standards are applied. However, improved clinical outcomes of stroke patients have only been shown when telemedicine was combined with the Stroke Unit concept based on specialised stroke wards and organised stroke care. More scientific evaluation is needed in the fields of cost effectiveness, quality management and implementation of further technological innovations. There are still insufficient data about the use of telemedicine in prevention, rehabilitation and post-stroke care and a comprehensive scientific evaluation is still needed.
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 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 | 0.022 | 0.048 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.009 | 0.003 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.007 | 0.021 |
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; both teacher heads agree on what is shown here.
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".