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Employing machine learning to enhance fracture recovery insights through gait analysis.

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Title: Employing machine learning to enhance fracture recovery insights through gait analysis.
Authors: Rezapour M; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Seymour RB; Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute and Wake Forest University School of Medicine, Charlotte, North Carolina, USA., Sims SH; Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute and Wake Forest University School of Medicine, Charlotte, North Carolina, USA., Karunakar MA; Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute and Wake Forest University School of Medicine, Charlotte, North Carolina, USA., Habet N; Department of Orthopaedic Surgery, Atrium Health Musculoskeletal Institute and Wake Forest University School of Medicine, Charlotte, North Carolina, USA., Gurcan MN; Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Source: Journal of orthopaedic research : official publication of the Orthopaedic Research Society [J Orthop Res] 2024 Aug; Vol. 42 (8), pp. 1748-1761. Date of Electronic Publication: 2024 Apr 10.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 8404726 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1554-527X (Electronic) Linking ISSN: 07360266 NLM ISO Abbreviation: J Orthop Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Employing machine learning to enhance fracture recovery insights through gait analysis.
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        Value: 10.1002/jor.25837
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              Text: 2024 Aug
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