Accuracy of machine learning techniques for real-time prediction of implanted lower limb mechanics with comprehensive and reduced input parameters.

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Title: Accuracy of machine learning techniques for real-time prediction of implanted lower limb mechanics with comprehensive and reduced input parameters.
Authors: Maag C; Johnson & Johnson MedTech, Warsaw, IN, USA., Fitzpatrick CK; Department of Mechanical and Biomedical Engineering, Boise State University, Boise, ID, USA., Rullkoetter PJ; Center for Orthopaedic Biomechanics, University of Denver, Denver, CO, USA.
Source: Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2025 Sep 23, pp. 1-11. Date of Electronic Publication: 2025 Sep 23.
Publication Type: Journal Article
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9802899 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-8259 (Electronic) Linking ISSN: 10255842 NLM ISO Abbreviation: Comput Methods Biomech Biomed Engin Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Maag+C%22">Maag C</searchLink>; Johnson & Johnson MedTech, Warsaw, IN, USA.<br /><searchLink fieldCode="AU" term="%22Fitzpatrick+CK%22">Fitzpatrick CK</searchLink>; Department of Mechanical and Biomedical Engineering, Boise State University, Boise, ID, USA.<br /><searchLink fieldCode="AU" term="%22Rullkoetter+PJ%22">Rullkoetter PJ</searchLink>; Center for Orthopaedic Biomechanics, University of Denver, Denver, CO, USA.
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        Value: 10.1080/10255842.2025.2554259
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      – TitleFull: Accuracy of machine learning techniques for real-time prediction of implanted lower limb mechanics with comprehensive and reduced input parameters.
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              Text: 2025 Sep 23
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