Human-in-the-Loop Artificial Intelligence in Cardiac MRI.

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

3 citing papers in PubMed.

1. Comparative evaluation of artificial intelligence-deep learning-based cine short-axis segmentation and manual post-processing for left ventricular function and structure in cardiac magnetic resonance.Quantitative imaging in medicine and surgery · 2026
   Article
2. Choroidal Vascular Fingerprints From Indocyanine Green Angiography Unveil Chorioretinal Disease State.Investigative ophthalmology & visual science · 2025
   Article
3. On the practical, ethical, and legal necessity of clinical Artificial Intelligence explainability: an examination of key arguments.BMC medical informatics and decision making · 2025
   Review

Corrections and comments

• Comment on
  Validation of Artificial Intelligence Cardiac MRI Measurements: Relationship to Heart Catheterization and Mortality Prediction.2022

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as