Wearable activity data can predict functional recovery after musculoskeletal injury: feasibility of a machine learning approach

The personal and socioeconomic burden after musculoskeletal injury is high, despite ever evolving treatment options and aftercare methods [1,2]. A significant factor contributing to this burden is that patients are unable to return to work within an optimal timeframe due in part to incomplete functional recovery [3,4]. Prolonged rehabilitation, complications, and delayed revision procedures add to the personal and societal financial burden [5]. Studies on musculoskeletal injury conducted in Germany, show that over 50 percent of all injuries occur in patients of working age between 18 and 69 [6].

Source: Injury - November 29, 2023 Category: Orthopaedics Authors: Benedikt J Braun, Tina Histing, Maximilian M Menger, Steven C Herath, Gustav A Mueller-Franzes, Bernd Grimm, Meir T Marmor, Daniel Truhn, the AO Smart Digital Solutions Task Force(Andrew M Hanflik, Peter H Richter, Sureshan Sivananthan, Seth R Yarboro) Source Type: research