Evidence map›Paper›PMID 39908864›Full record

ArticleEarly human development2025

Clinical validation of an abridged AIMS: Streamlining motor screening in the first-year infant.

Teresa Fair-Field, Bharath Modayur

Abstract readValidation Study
In one paragraph

Article in Early human development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

5 · Who and what money

Authors and funding

2 authors.

Teresa Fair-FieldEarly Markers, 2151 NW 97th Street, Seattle, WA 98117, United States; Robbins College of Health and Human Sciences, Baylor University, Waco, TX, United States. Electronic address: teresa_fair-field@baylor.edu.
Bharath ModayurEarly Markers, 2151 NW 97th Street, Seattle, WA 98117, United States; Department of Medical Education and Clinical Sciences, Washington State University, United States. Electronic address: bharath@earlymarkers.com.

Funding

An Automated Early Motor Development Risk Screener from Observational Video Recordings of Infants and ToddlersR44HD095783 · NICHD · BSOLUTIONS, INC. · PI MODAYUR, BHARATH · 2018 to 2021
$1.8M
HARE: Action Recognition System for Behavioral Assessment Training, Data-sharing, and Early Markers Detection for Autism Spectrum Disorders.R43MH107063 · NIMH · BSOLUTIONS, INC. · PI MODAYUR, BHARATH · 2015 to 2016
$755k
Cribsy: A platform for home-based automated developmental risk screeningR43HD115478 · NICHD · BSOLUTIONS, INC. · PI MODAYUR, BHARATH · 2024 to 2025
$309k
NICHD NIH HHS R43 HD115478NICHD NIH HHS R44 HD095783NIMH NIH HHS R43 MH107063
6 · The paper itself

Abstract

This study validates an abridged version of the Alberta Infant Motor Scale (AIMS), termed the "salient set," to streamline infant screening using video analysis and machine learning. Twenty-one retrospective infant videos were manually tagged by trained occupational therapists using only the 15-item salient set with support vector regressors (SVRs) trained on a larger sample (n = 102) predicting the true (full) AIMS score. The SVR demonstrated strong concurrent validity of the salient set with the full 58-item AIMS (Pearson correlation: 0.99). The abridged set showed high screening sensitivity (1.0) and specificity (0.895), while reducing evaluation time by 67 %. The salient set offers a useful contribution to machine learning by detecting an abridged set of items while still accurately and appropriately identifying infants for EI referral.

Indexed as

Child DevelopmentMotor SkillsFemaleHumansInfantMachine LearningMaleRetrospective StudiesVideo RecordingAlberta Infant Motor Scale (AIMS)Developmental delayEarly interventionInfant screeningMachine learningMotor developmentOccupational therapy

Identifiers

PMID39908864
PMCPMC12047080

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.