Gait-to-Contact (G2C): A Novel Deep Learning Framework to Predict Total Knee Replacement Wear from Gait Patterns.
Saved in:
| 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 |
| ISSN: | 1573-9686 |
|---|---|
| DOI: | 10.1007/s10439-025-03863-3 |
