Video-capture teleradiology for the after-hours reading of computerized tomography scans
Bibliographic record
Abstract
We evaluated the after-hours support that radiologists could provide from their homes to an urban hospital for reading emergency computerized tomography (CT) scans. During a six-month study period, 36 CT scans were acquired using a video-capture card in a PC and transmitted via an ordinary telephone line. The teleradiology interpretation and the formal report (from the hard copy) were compared with a reference or gold standard interpretation made by a radiologist and an emergency physician for 31 of the 36 cases. In comparison with the gold standard, there were 26 correct diagnoses by teleradiology (84%) and five incorrect (16%). Head CT scans accounted for 74% of the transmitted scans and all five of the cases with discrepant diagnoses. The cause of the single clinically relevant discrepancy was found to be unrelated to the use of teleradiology. In comparison with the formal report, the accuracy of the teleradiologist was not significantly different for all categories combined or for head CT scans alone. Video-capture technology provided a reliable means of transmitting CT scans for after-hours interpretation in emergency cases.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".