Potential of artificial intelligence in injury prevention research and practice.

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. Artificial Intelligence in Sports Medicine: A Decision-Centered Framework for the Future Sports Physician.Diagnostics (Basel, Switzerland) · 2026
   Review
2. Micro/Nanorobots in Wound Healing: Bridging the Gap from Concept to Clinical Translation.International journal of nanomedicine · 2025
   Review
3. Potential for advances in data linkage and data science to support injury prevention research.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2024
   Article
4. Assessment of non-fatal injuries among university students in Hainan: a machine learning approach to exploring key factors.Frontiers in public health · 2024
   Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

1 author.

Funding

Abstract

PubMed holds no abstract for this paper.

Indexed as