Canada’s Early Experiences With Low-Field MRI: Insights From a Cross-Country Survey
Bibliographic record
Abstract
What Is the Issue? Canada’s Drug Agency (CDA-AMC) received a request to investigate the experiences of health care institutions with their low-field MRI units, including portable or point-of-care units, to support facilities that are considering this technology. Low-field MRI systems operate using lower-strength magnetic fields and have seen a resurgence due to recent innovations improving image quality. They can supplement existing MRI capacity, expand access in resource-limited settings, and may be an option for patients who have certain contraindications or cannot tolerate conventional MRI systems. We identified 1 previous study that examined portable MRI use in a remote hospital in Ontario. Our findings build on that work, incorporating data from facilities across a range of settings and jurisdictions, and providing a broader view of how these units were being used in the Canadian context at the time the survey was conducted. What Did We Do? CDA-AMC conducted a survey of the 6 known health care facilities identified through the 2022–2023 Canadian Medical Imaging Inventory National Survey as having low-field MRI units. The report summarizes the experiences of 5 respondents to the survey, which explored the following themes: technical specifications and operations staffing and training needs clinical applications perceived impacts on patient care experiences perceived benefits and challenges. What Did We Find? Respondents provided valuable insights into low-field MRI use in Canada. According to the survey: 4 of 5 respondents said they had access to a conventional MRI unit, and 1 respondent indicated that low-field MRI units are often used to complement existing imaging services all respondents reported few technical issues with low-field MRI units and no adverse events that affect patients or staff 4 of 5 respondents said that minimal training was required to operate low-field MRI units, whereas 1 respondent indicated that more extensive training was required all respondents said that the body areas most commonly imaged with low-field MRI are the head and neck 3 of 5 respondents reported improved imaging capabilities with low-field MRI, whereas 2 indicated no improvement 4 of 5 respondents cited portability and compact size as advantages of low-field MRI units over conventional MRI units 2 of 5 respondents mentioned image resolution as a challenge for low-field MRI units, with another respondent reporting challenges with staffing capacity. What Does This Mean? This report covers 5 of 6 facilities known to have low-field MRI systems at the time of this survey, providing the first national-level examination of their use in a variety of settings and jurisdictions, and encompassing both research and clinical practice. The findings highlight how low-field MRI units are being used — not as replacements for conventional MRI systems, but as complementary tools suited to specific clinical needs or use in space-limited or high-acuity environments. An understanding of the perceived strengths and weaknesses of these units may help decision-makers make planning decisions regarding new imaging capacity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".