Evidence map›Paper›PMID 34351462›Full record

ArticleInternational orthopaedics2021

Digital twins, artificial intelligence, and machine learning technology to identify a real personalized motion axis of the tibiotalar joint for robotics in total ankle arthroplasty.

Philippe Hernigou, Romain Olejnik, Adonis Safar, Sagi Martinov, Jacques Hernigou, Bruno Ferre

Abstract read
PubMed Publisher
In one paragraph

Article in International orthopaedics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Current progress of digital twin construction using medical imaging.Journal of applied clinical medical physics · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. [Digital twin hospitals: transforming the future of healthcare].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Review
  12. Digital Twins of Biological Systems: A Narrative Review.IEEE open journal of engineering in medicine and biology · 2024
    Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 3 institutions in 3 countries.

Philippe HernigouOrthopedic Department Henri Mondor Hospital, University Paris East, Paris, France. philippe.hernigou@wanadoo.fr.ORCID 0000-0002-8475-279X
Romain OlejnikOrthopedic Department Henri Mondor Hospital, University Paris East, Paris, France.
Adonis SafarOrthopedic Department, EpiCURA Baudour Hornu Hospital, Mons, Belgium.
Sagi MartinovOrthopedic Department, EpiCURA Baudour Hornu Hospital, Mons, Belgium.
Jacques HernigouOrthopedic Department, EpiCURA Baudour Hornu Hospital, Mons, Belgium.
Bruno FerreInstitut Monégasque de Médecine & Chirurgie Sportive, 98000, Monaco, Monaco.
Epicura · BEHôpitaux Universitaires Henri-Mondor · FRScientific Centre of Monaco · MC

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAxial alignment of the talar implant in total ankle arthroplasty remains a major issue, since the real axis of motion of each patient is impossible to determine with usual techniques. Further knowledge regarding individual axis of motion of the ankle is therefore needed. MATERIAL AND

methodsTherefore, digital twins, artificial intelligence, and machine learning technology were used to identify a real personalized motion axis of the tibiotalar joint. Three-dimensional (3D) models of distal extremities were generated using computed tomography data of normal patients. Digital twins were used to reproduce the mobility of the ankles, and the real ankle of the patients was matched to the digital twin with machine learning technology.

resultsThe results showed that a personalized axis can be obtained for each patient. When the origin of the axis is the centre of mass of the talus, this axis can be represented in a geodesic system. The mean value of the axis is a line passing in first approximation through the centre of the sphere (with a variation of 3 mm from the centre of the mass of the talus) and through a point with the coordinates 91.6° west and 7.4° north (range 84° to 98° west; - 2° to 12° north). This study improves the understanding of the axis of the ankle, as well as its relationship to the possibility to use the geodesic system for robotic in ankle arthroplasty.

conclusionThe consideration of a personalized axis of the ankle might be helpful for better understanding of ankle surgery and particularly total ankle arthroplasty.

Indexed as

Arthroplasty, Replacement, AnkleTalusAnkleAnkle JointArtificial IntelligenceHumansMachine LearningTechnologyAnkle axisArtificial intelligenceDigital twinsGeodesic axis of the ankleMachine learning technologyRoboticsTibiotalar jointTotal ankle arthroplasty

Identifiers

PMID34351462
OpenAlexW3187908441

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.