Risk and Safety in Radiographic Utilization: Evaluating the Evidence From Current Research
Bibliographic record
Abstract
The 19 th ‐century discovery of radiographic imaging techniques revolutionized healthcare, allowing doctors to indirectly “see” inside their living patients. It was not until the mid‐20 th century that mutagenic effects from radiation exposure became a topic of concern. Since then, healthcare providers, scientists, and regulatory agencies have battled the question, “Does radiation exposure from radiographic imaging increase the risk of developing cancers and heritable conditions?” With no established answer, physicians must rely on the available evidence when assessing the risk versus benefit of having their patients x‐rayed. This review aims to gather and consolidate the available evidence so physicians can make informed decisions when ordering tests that use x‐rays. Popular topics such as the linear‐no‐threshold (LNT) model, radiation hormesis, and the as‐low‐as‐reasonably‐achievable (ALARA) principle are covered. Epidemiology studies, x‐ray physics, and related basic sciences are reviewed.
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.
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 | 0.023 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".