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Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69962, first published .
Evidence-Generated Sockets for Transtibial Prosthetic Limbs Compared With Conventional Computer-Aided Designs: A Multiple-Methods Study From the Patient’s Perspective

Evidence-Generated Sockets for Transtibial Prosthetic Limbs Compared With Conventional Computer-Aided Designs: A Multiple-Methods Study From the Patient’s Perspective

Evidence-Generated Sockets for Transtibial Prosthetic Limbs Compared With Conventional Computer-Aided Designs: A Multiple-Methods Study From the Patient’s Perspective

Journals

  1. Ellis A, Pendse V, Ngan C, Andrysek J. Smartphone photogrammetry for prosthetics and orthotics: accuracy and reliability across upper-limb, lower-limb, and AFO casts. BioMedical Engineering OnLine 2026;25(1) View
  2. Olawade D, Almarzook S, Ogunbona M, Makanjuola B, Olawuyi O, Wada O. Digital twin applications in healthcare for people living with disability. International Journal of Medical Informatics 2026;212:106359 View
  3. Wu T, Han T, Zhang X, Dai Y, Meng X. A Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial. JMIR mHealth and uHealth 2026;14:e72560 View
  4. van der Stelt M, Brouwers L, Jalloh S, Kamara O, van de Steeg G, de Jong G, Grobusch P, Maal P, Leijendekkers R. Locally produced AI-designed transtibial prosthetic sockets in rural Sierra Leone – a prospective cohort study. Archives of Physical Medicine and Rehabilitation 2026 View