Board-certified specialty training program in radiation oncology in a war-torn country: Challenges, solutions and outcomes
Bibliographic record
Abstract
BACKGROUND: Residency programs leading to board certification are important for safe and competent Radiation Oncology (RO) practice. In some developing nations, there is a gap in this field. This work addresses the experience that was accomplished to establish such a program in Iraq despite all the challenges that faces a country under war. METHODS: Descriptive report of challenges faced in a developing country that is still reeling from war, the steps taken to overcome these challenges and outcomes after graduation of two classes. RESULTS: After over 18 months of prerequisite technical and logistical preparations, a group of local and external faculty members were invited to establish the required syllabus of a structured RO residency program in Iraq. It is comprised of a total of 100 post-graduate academic credits over a 48-months period after clinical internship. First year evaluations included regular practical assessments; seven in-house papers covering RO, cancer and radiation biology, medical physics, radiological anatomy and diagnostic oncology, tumor pathology, onco-pharmacology, and medical statistics, research methodology, and cancer epidemiology, followed by a comprehensive examination. Subsequent evaluations were on an annual bases with enrollment in the American College of Radiology In-Training examination in RO. Final assessment included logbook and skills' reviews, graduation thesis or peer-review publication, two-papers' written examination, and an exit practical examination. CONCLUSIONS: residency program leading to board certification in RO was successfully started in Iraq. The new specialists will help in addressing the shortage of radiation oncologists in the country.
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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 | 0.001 | 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 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".