International Telepathology: Promises and Pitfalls
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
Innovative technologies for digital imaging and telecommunications are changing the way we deliver health care. Telepathology collaborations are one example of how delivering remote pathology services to patients can benefit from leveraging this change. Over the years, several academic and commercial teleconsultation networks have been established. Herein, we review the landscape of these international telepathology efforts and highlight key supportive factors and potential barriers to successful cross-border collaborations. Important features of successful international telepathology programs include efficient workflows, dedicated information technology staff, continuous maintenance, financial incentives, ensuring that all involved stakeholders are satisfied, and value-added clinical benefit to patient care. Factors that plague such telepathology operations include legal/regulatory issues, sustainability, and cultural and environmental issues. Pathologists, vendors and laboratory accreditation agencies will need to embrace and capitalize on this new paradigm of international telepathology accordingly.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it