Resident perspectives on global health imaging in canadian radiology training: A national survey
Why this work is in the frame
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Bibliographic record
Abstract
RATIONALE AND OBJECTIVES: Radiology plays a critical role in healthcare but is marked by stark global inequities. Low- and middle-income countries have far fewer imaging resources and trained personnel compared to high-income countries. As global health interest grows among trainees, understanding Canadian radiology residents' perspectives on global health imaging (GHI) is essential. This study aimed to assess their prior experiences, perceived barriers, and recommendations for integrating GHI into residency training. MATERIALS AND METHODS: A bilingual, anonymous survey was developed and distributed to residents across all 16 Canadian radiology residency programs from May 2024 to April 2025. The questionnaire included items on demographics, prior global health involvement, interest in GHI, perceived preparedness, institutional opportunities, and barriers to international engagement. Respondents were also asked to identify preferred approaches for integrating GHI into training programs. RESULTS: Fifty-one trainees responded from 14 different programs. 64.7% reported prior work in developing countries, with 54.9% perceiving an unmet need for medical imaging in those settings. Nearly half (47.1%) expressed plans to engage in GHI. On-site collaboration and education of local staff (47.1%) and residents (49%) were the most preferred methods of contribution. However, 78.4% felt unprepared or unsure to get involved in GHI. 45.1% reported no GHI opportunities in their current program. Major barriers included call coverage (94.1%), lack of funding (90.2%), and limited infrastructure (90.2%). The top proposed solutions were international electives (86.3%), teleradiology (60.8%), and case presentations focused on diseases highly prevalent in developing countries (51%). CONCLUSION: Canadian radiology trainees show strong interest in global health imaging but face systemic barriers. Curricular integration of electives, teleradiology, and global health education, along with improved access to funding, could bridge the gap between interest and participation.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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