Kevin M. Hwang

Changes in prospectively collected longitudinal patient-generated health data are associated with short-term patient-reported outcomes after total joint arthroplasty: a pilot study

S. Bini, J. Barry, Ilya Bendich, 2019, Arthroplasty today.

Machine Learning Algorithms Can Use Wearable Sensor Data to Accurately Predict Six-Week Patient-Reported Outcome Scores Following Joint Replacement in a Prospective Trial.

S. Bini, M. Zaid, Ilya Bendich, 2019, The Journal of arthroplasty.

AUTOMATIC HIP FRACTURE IDENTIFICATION AND FUNCTIONAL SUBCLASSIFICATION

Justin D Krogue, Kevin A Padrez, Erik J. Geiger, 2019 .

What Factors Lead to Racial Disparities in Outcomes After Total Knee Arthroplasty?

James B. Hu, S. Ibrahim, William J. Rubenstein, 2021, Journal of Racial and Ethnic Health Disparities.

What Factors Lead to Racial Disparities in Outcomes After Total Knee Arthroplasty?

James B. Hu, S. Ibrahim, William J. Rubenstein, 2021, Journal of Racial and Ethnic Health Disparities.

Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning pdf

Eugene Ozhinsky, Valentina Pedoia, Sharmila Majumdar, 2019, Radiology. Artificial intelligence.

Social Determinants of Health and Patient-Reported Outcomes Following Total Hip and Knee Arthroplasty in Veterans.

Alex H. S. Harris, N. Giori, William J. Rubenstein, 2020, The Journal of arthroplasty.

Optimal Sampling Frequency for Wearable Sensor Data in Arthroplasty Outcomes Research. A Prospective Observational Cohort Trial.

S. Bini, M. Zaid, Ilya Bendich, 2019, The Journal of arthroplasty.