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Record W4410122534 · doi:10.24908/pocusj.v10i01.18722

Comparison of Six Handheld Ultrasound Devices by Pediatric Point of Care Ultrasound (POCUS) Experts

2025· article· en· W4410122534 on OpenAlexvenueno aff
Stephanie K. Leung, Ria Dancel, Riya Soni, Ariadna Perez‐Sanchez, Michael Mader, Haitham Al-Wahab, Thomas Conlon, María V. Fraga, Javier J. Lasa, Andrea Matho, Hannah Smith, Nilam J. Soni

Bibliographic record

VenuePOCUS Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsnot available
FundersVA National Center for Patient SafetyQuality Enhancement Research InitiativeU.S. Department of Veterans Affairs
KeywordsMobile deviceMedicineUsabilityMedical physicsComputer scienceHuman–computer interaction

Abstract

fetched live from OpenAlex

Background: Point of care ultrasound (POCUS) use is increasing among pediatric clinicians, but lack of access to ultrasound devices is a major barrier. The availability of pocket-sized handheld ultrasound devices (“handhelds”) has improved access. However, no head-to-head comparative studies of handhelds in children have been performed to guide purchasing decisions. Methods: This cross-sectional study compared six handhelds: Butterfly iQ+™ (Butterfly Network Inc.), Clarius® (Clarius Mobile Health™), Kosmos™(EchoNous), TE Air™ (Mindray®), Vscan Air™ SL (General Electric), and Lumify™ (Philips Healthcare). Eight pediatric POCUS experts acquired views showing the abdominal right upper quadrant (RUQ), cardiac apical 4-chamber, and superficial neck and lung on a standardized pediatric model using each handheld. Experts rated each handheld by its image quality, ease of use, and their overall satisfaction. Results: Vscan Air™, Kosmos™, and Lumify™ were rated highest for ease of use, image quality, and overall satisfaction. Most experts recommended Vscan Air™ for purchase. The five most desirable characteristics of handhelds were image quality, ease of use, total costs, transducer size, and availability of different transducer types. All six handhelds had important advantages and disadvantages per experts, and no single device had all the desired characteristics. Conclusions: Pediatric POCUS experts rated Vscan Air™, Kosmos™, and Lumify™ highest for ease of use, image quality, and overall satisfaction. No device was clearly superior across all applications. Subjective characteristics, particularly probe ergonomics, may be a deciding factor when selecting handhelds in pediatrics. There is a need to develop handhelds specifically for use in pediatric populations. Background: Point of care ultrasound (POCUS) use is increasing among pediatric clinicians, but lack of access to ultrasound devices is a major barrier. The availability of pocket-sized handheld ultrasound devices (“handhelds”) has improved access. However, no head-to-head comparative studies of handhelds in children have been performed to guide purchasing decisions. Methods: This cross-sectional study compared six handhelds: Butterfly iQ+™ (Butterfly Network Inc.), Clarius® (Clarius Mobile Health™), Kosmos™(EchoNous), TE Air™ (Mindray®), Vscan Air™ SL (General Electric), and Lumify™ (Philips Healthcare). Eight pediatric POCUS experts acquired views showing the abdominal right upper quadrant (RUQ), cardiac apical 4-chamber, and superficial neck and lung on a standardized pediatric model using each handheld. Experts rated each handheld by its image quality, ease of use, and their overall satisfaction. Results: Vscan Air™, Kosmos™, and Lumify™ were rated highest for ease of use, image quality, and overall satisfaction. Most experts recommended Vscan Air™ for purchase. The five most desirable characteristics of handhelds were image quality, ease of use, total costs, transducer size, and availability of different transducer types. All six handhelds had important advantages and disadvantages per experts, and no single device had all the desired characteristics. Conclusions: Pediatric POCUS experts rated Vscan Air™, Kosmos™, and Lumify™ highest for ease of use, image quality, and overall satisfaction. No device was clearly superior across all applications. Subjective characteristics, particularly probe ergonomics, may be a deciding factor when selecting handhelds in pediatrics. There is a need to develop handhelds specifically for use in pediatric populations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.381
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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