Archives of physical medicine and rehabilitation · 2026
Locally Produced AI-Designed Transtibial Prosthetic Sockets in Rural Sierra Leone: A Prospective Cohort Study.
СтатьяНазвание и аннотация: Перевод в очереди
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van der Stelt Merel, Brouwers Lars, Jalloh Sallieu, Kamara Osman, van de Steeg Gert, de Jong Guido, Grobusch Martin P, Maal Thomas J J, Leijendekkers Ruud
Аннотация
OBJECTIVE: To evaluate artificial intelligence (AI)-based transtibial prosthetic socket shapes in a rural, low-income setting.
DESIGN: This prospective cohort study evaluates AI-designed prosthetic sockets. Baseline and 10-week follow-up assessments were conducted to evaluate satisfaction, functionality, and quality of life.
SETTING: The study was conducted at the 3D laboratory of Masanga Teaching Hospital in rural Sierra Leone.
PARTICIPANTS: Thirty-four participants with a transtibial amputation without a functional prosthesis were enrolled. At follow-up, 27 participants completed the assessments.
INTERVENTIONS: Local coworkers with limited prosthetic experience autonomously produced transtibial sockets using user-friendly software powered by an AI algorithm trained on expert data.
MAIN OUTCOME MEASURES: Baseline and 10-week follow-up assessments included (1) satisfaction with the device and service using the adapted Orthotics and Prosthetics User's Survey (OPUS); (2) functioning by quantifying prosthetic wear time and step count (before and after receiving the prosthesis) with activity sensors and the lower extremity functional status using the adapted OPUS survey (range, 0-60); (3) disease-specific health-related quality of life (D-HRQoL) using the adapted OPUS survey (range, 0-36) and generic health-related quality of life using the EuroQol 5-Dimension 3-Level (EQ-5D-3L) and the Visual Analog Scale (VAS) score; and (4) participants' personal goals were evaluated.
RESULTS: The activity sensors confirmed that all participants used the prosthesis. Median prosthetic wear time was 9.3 (1.6-11.4) hours per day, with a median of 3978 (1746-6545) steps per day, of which 39% (16%-76%) were taken with the prosthesis. Median scores indicated a significant improvement in OPUS lower extremity functional status from 45 (39-49) to 52 (47-54) and in OPUS D-HRQoL from 25 (20-30) to 31 (25-35). EQ-5D-3L and the Visual Analog Scale score did not significantly change; 56% achieved their desired activity goal.
CONCLUSIONS: This study shows that easy-to-use software and AI can support socket design in areas with limited access to skilled prosthetists.
DESIGN: This prospective cohort study evaluates AI-designed prosthetic sockets. Baseline and 10-week follow-up assessments were conducted to evaluate satisfaction, functionality, and quality of life.
SETTING: The study was conducted at the 3D laboratory of Masanga Teaching Hospital in rural Sierra Leone.
PARTICIPANTS: Thirty-four participants with a transtibial amputation without a functional prosthesis were enrolled. At follow-up, 27 participants completed the assessments.
INTERVENTIONS: Local coworkers with limited prosthetic experience autonomously produced transtibial sockets using user-friendly software powered by an AI algorithm trained on expert data.
MAIN OUTCOME MEASURES: Baseline and 10-week follow-up assessments included (1) satisfaction with the device and service using the adapted Orthotics and Prosthetics User's Survey (OPUS); (2) functioning by quantifying prosthetic wear time and step count (before and after receiving the prosthesis) with activity sensors and the lower extremity functional status using the adapted OPUS survey (range, 0-60); (3) disease-specific health-related quality of life (D-HRQoL) using the adapted OPUS survey (range, 0-36) and generic health-related quality of life using the EuroQol 5-Dimension 3-Level (EQ-5D-3L) and the Visual Analog Scale (VAS) score; and (4) participants' personal goals were evaluated.
RESULTS: The activity sensors confirmed that all participants used the prosthesis. Median prosthetic wear time was 9.3 (1.6-11.4) hours per day, with a median of 3978 (1746-6545) steps per day, of which 39% (16%-76%) were taken with the prosthesis. Median scores indicated a significant improvement in OPUS lower extremity functional status from 45 (39-49) to 52 (47-54) and in OPUS D-HRQoL from 25 (20-30) to 31 (25-35). EQ-5D-3L and the Visual Analog Scale score did not significantly change; 56% achieved their desired activity goal.
CONCLUSIONS: This study shows that easy-to-use software and AI can support socket design in areas with limited access to skilled prosthetists.