Dynamic load at baseline can predict radiographic disease progression in medial compartment knee osteoarthritis

By T. Miyazaki, M. Wada, H. Kawahara, M. Sato, H. Baba, S. Shimada. Annals of the Rheumatic Diseases, 2002

1,439 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Rheumatology, Surgery

View Paper: https://www.semanticscholar.org/paper/375bf65eadba0b33fe78a55ca5d12aebc7b3a85e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Mark R. Cutkosky
2. Scott L. Delp
3. Ajay Seth

In Surgery

1. Scott L. Delp

Citations in the corpus

• Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention. (2014, background): “Toe-in gait [15] has been trained with wearable haptic feedback to reduce the knee adduction moment, a measure associated with medial compartment knee osteoarthritis [91].”