A review of teleradiology in Africa – Towards mobile teleradiology in Nigeria
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
eHealth is promoted as a means to strengthen health systems and facilitate universal health coverage. Sub-components (e.g. telehealth, telemedicine, mhealth) are seen as mitigators of healthcare provider shortages and poor rural and remote access. Teleradiology (including mobile teleradiology), widespread in developed nations, is uncommon in developing nations. Decision- and policy-makers require evidence to inform their decisions regarding implementation of mobile teleradiology in Nigeria and other sub-Saharan countries. To gather evidence, Scopus and PubMed were searched using defined search strings (September 2020). Duplicates were removed, and titles and abstracts reviewed using specified selection criteria. Full-text papers of selected resources were retrieved and reviewed against the criteria. Insight from included studies was charted for eight a priori categories of information: needs assessment, implementation, connectivity, evaluation, costing, image display, image capture and concordance. Fifty-seven articles were identified, duplicates removed and titles and abstracts of remaining articles reviewed against study criteria. Twenty-six papers remained. After review of full-texts, ten met the study criteria. These were summarised, and key insights for the eight categories were charted. Few papers have been published on teleradiology in sub-Saharan Africa. Teleradiology, including mobile teleradiology, is feasible in sub-Saharan Africa for routine X-ray support of patients and healthcare providers in rural and remote locations. Former technical issues (image quality, transmission speed, image compression) have been largely obviated through the high-speed, high-resolution digital imaging and network transmission capabilities of contemporary smartphones and mobile networks, where accessible. Comprehensive studies within the region are needed to guide the widespread introduction of mobile teleradiology.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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