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Gait-to-Contact (G2C): A Novel Deep Learning Framework to Predict Total Knee Replacement Wear from Gait Patterns.

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Title: Gait-to-Contact (G2C): A Novel Deep Learning Framework to Predict Total Knee Replacement Wear from Gait Patterns.
Authors: Perrone M; Rush University Medical Center, Chicago, IL, USA. mattia_x_perrone@rush.edu., Simmons S; Rush University Medical Center, Chicago, IL, USA.; Drury University, Springfield, MO, USA., Malloy P; Rush University Medical Center, Chicago, IL, USA.; Arcadia University, Glenside, PA, USA., Karas V; Rush University Medical Center, Chicago, IL, USA., Yuh C; Rush University Medical Center, Chicago, IL, USA., Martin J; Rush University Medical Center, Chicago, IL, USA., Mell SP; Rush University Medical Center, Chicago, IL, USA.
Source: Annals of biomedical engineering [Ann Biomed Eng] 2026 Jan; Vol. 54 (1), pp. 153-162. Date of Electronic Publication: 2025 Sep 27.
Publication Type: Journal Article
Journal Info: Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 0361512 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-9686 (Electronic) Linking ISSN: 00906964 NLM ISO Abbreviation: Ann Biomed Eng Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Gait-to-Contact (G2C): A Novel Deep Learning Framework to Predict Total Knee Replacement Wear from Gait Patterns.
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  Data: <searchLink fieldCode="AU" term="%22Perrone+M%22">Perrone M</searchLink>; Rush University Medical Center, Chicago, IL, USA. mattia_x_perrone@rush.edu.<br /><searchLink fieldCode="AU" term="%22Simmons+S%22">Simmons S</searchLink>; Rush University Medical Center, Chicago, IL, USA.; Drury University, Springfield, MO, USA.<br /><searchLink fieldCode="AU" term="%22Malloy+P%22">Malloy P</searchLink>; Rush University Medical Center, Chicago, IL, USA.; Arcadia University, Glenside, PA, USA.<br /><searchLink fieldCode="AU" term="%22Karas+V%22">Karas V</searchLink>; Rush University Medical Center, Chicago, IL, USA.<br /><searchLink fieldCode="AU" term="%22Yuh+C%22">Yuh C</searchLink>; Rush University Medical Center, Chicago, IL, USA.<br /><searchLink fieldCode="AU" term="%22Martin+J%22">Martin J</searchLink>; Rush University Medical Center, Chicago, IL, USA.<br /><searchLink fieldCode="AU" term="%22Mell+SP%22">Mell SP</searchLink>; Rush University Medical Center, Chicago, IL, USA.
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  Data: <searchLink fieldCode="JN" term="%220361512%22">Annals of biomedical engineering</searchLink> [Ann Biomed Eng] 2026 Jan; Vol. 54 (1), pp. 153-162. <i>Date of Electronic Publication: </i>2025 Sep 27.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Science+%2B+Business+Media%22">Springer Science + Business Media </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0361512 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-9686 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200906964%22">00906964 </searchLink><i>NLM ISO Abbreviation: </i>Ann Biomed Eng <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s10439-025-03863-3
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        Text: English
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      – TitleFull: Gait-to-Contact (G2C): A Novel Deep Learning Framework to Predict Total Knee Replacement Wear from Gait Patterns.
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              Text: 2026 Jan
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