Efficient Health Care: Decreasing MRI Scan Time.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

4 citing papers in PubMed.

1. Comparison of accelerated MRI protocol approaches for clinical assessment of the knee.Skeletal radiology · 2026
   Article
2. Roles in brain stimulation, recording and interpreting neuroimaging data: a systematic survey of 26 countries on current practices in EEG, MRI, TCD, TMS and FUS.Frontiers in medical technology · 2026
   Article
3. Deep learning and AI in reducing magnetic resonance imaging scanning time: advantages and pitfalls in clinical practice.Polish journal of radiology · 2024
   Review
4. The importance of maximal TURBT in trimodality therapy for muscle-invasive bladder cancer (MIBC).Bladder cancer (Amsterdam, Netherlands)
   Review

Corrections and comments

• Comment on
  Impact of Deep Learning Image Reconstruction Methods on MRI Throughput.2024

Authors and funding

2 authors.

Funding

Abstract

PubMed holds no abstract for this paper.

Indexed as