Editorial: Machine Learning Approaches to Human Movement Analysis.

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

8 citing papers in PubMed.

1. Machine Learning in Adapted Physical Activity: Clinical Applications, Monitoring, and Implementation Pathways for Personalized Exercise in Chronic Conditions: A Narrative Review.Journal of functional morphology and kinesiology · 2026
   Review
2. [Orthopaedics of the future : AI meets motion analysis: opportunities and risks].Orthopadie (Heidelberg, Germany) · 2025
   Review
3. Analysis of Connectivity in Electromyography Signals to Examine Neural Correlations in the Activation of Lower Leg Muscles for Postural Stability: A Pilot Study.Bioengineering (Basel, Switzerland) · 2025
   Article
4. Marker-Less Video Analysis of Infant Movements for Early Identification of Neurodevelopmental Disorders.Diagnostics (Basel, Switzerland) · 2025
   Article
5. An IMU-Based Wearable System for Respiratory Rate Estimation in Static and Dynamic Conditions.Cardiovascular engineering and technology · 2023
   Article
6. Machine learning aided jump height estimate democratization through smartphone measures.Frontiers in sports and active living · 2023
   Article
7. Always Pay Attention to Which Model of Motor Learning You Are Using.International journal of environmental research and public health · 2022
   Review
8. Artificial Neural Network Analyzing Wearable Device Gait Data for Identifying Patients With Stroke Unable to Return to Work.Frontiers in neurology · 2021
   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

3 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as