Evidence map›Paper›PMID 40764087›Full record

ArticleRMD open2025

Automated ultrasound system ARTHUR V.2.0 with AI analysis DIANA V.2.0 matches expert rheumatologist in hand joint assessment of rheumatoid arthritis patients.

Bill Aplin Frederiksen, Hilde Berner Hammer, Lene Terslev, Mads Ammitzbøll-Danielsen, Thiusius Rajeeth Savarimuthu, Anders Bossel Holst Weber, Søren Andreas Just

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Article in RMD open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Advancing artificial intelligence in rheumatology from evidence to practice.Therapeutic advances in musculoskeletal disease · 2025
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bill Aplin FrederiksenSection of Rheumatology, Department of Medicine, Svendborg Hospital - Odense University Hospital, Svendborg, Denmark.
Hilde Berner HammerCenter for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway.ORCID 0000-0001-7317-8991
Lene TerslevCenter for Rheumatology and Spine Diseases, Rigshospitalet Glostrup, Glostrup, Denmark.
Mads Ammitzbøll-DanielsenCenter for Rheumatology and Spine Diseases, Rigshospitalet Glostrup, Glostrup, Denmark.
Thiusius Rajeeth SavarimuthuThe Maersk Mc-Kinney Moller Institute, Syddansk Universitet, Odense, Denmark.
Anders Bossel Holst WeberROPCA, Odense, Denmark.
Søren Andreas JustSection of Rheumatology, Department of Medicine, Svendborg Hospital - Odense University Hospital, Svendborg, Denmark soeren.andreas.just@rsyd.dk.ORCID 0000-0002-3946-5919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the agreement and repeatability of an automated robotic ultrasound system (ARTHUR V.2.0) combined with an AI model (DIANA V.2.0) in assessing synovial hypertrophy (SH) and Doppler activity in rheumatoid arthritis (RA) patients, using an expert rheumatologist's assessment as the reference standard.

methods30 RA patients underwent two consecutive ARTHUR V.2.0 scans and rheumatologist assessment of 22 hand joints, with the rheumatologist blinded to the automated system's results. Images were scored for SH and Doppler by DIANA V.2.0 using the EULAR-OMERACT scale (0-3). The agreement was evaluated by weighted Cohen's kappa, percent exact agreement (PEA), percent close agreement (PCA) and binary outcomes using Global OMERACT-EULAR Synovitis Scoring (healthy ≤1 vs diseased ≥2). Comparisons included intra-robot repeatability and agreement with the expert rheumatologist and a blinded independent assessor.

resultsARTHUR successfully scanned 564 out of 660 joints, corresponding to an overall success rate of 85.5%. Intra-robot agreement for SH: PEA 63.0%, PCA 93.0%, binary 90.5% and for Doppler, PEA 74.8%, PCA 93.7%, binary 88.1% and kappa values of 0.54 and 0.49. Agreement between ARTHUR+DIANA and the rheumatologist: SH (PEA 57.9%, PCA 92.9%, binary 87.3%, kappa 0.38); Doppler (PEA 77.3%, PCA 94.2%, binary 91.2%, kappa 0.44) and with the independent assessor: SH (PEA 49.0%, PCA 91.2%, binary 80.0%, kappa 0.39); Doppler (PEA 62.6%, PCA 94.4%, binary 88.1%, kappa 0.48).

conclusionsARTHUR V.2.0 and DIANA V.2.0 demonstrated repeatability on par with intra-expert agreement reported in the literature and showed encouraging agreement with human assessors, though further refinement is needed to optimise performance across specific joints.

Indexed as

Arthritis, RheumatoidHand JointsAdultAgedArtificial IntelligenceFemaleHumansMaleMiddle AgedReproducibility of ResultsRheumatologistsRoboticsSeverity of Illness IndexUltrasonographyUltrasonography, DopplerArthritis, RheumatoidMachine LearningUltrasonography

Identifiers

PMID40764087
PMCPMC12336591

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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.