Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43963, first published .
Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study

Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study

Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study

Journals

  1. Rajagopal A, Ayanian S, Ryu A, Qian R, Legler S, Peeler E, Issa M, Coons T, Kawamoto K. Machine Learning Operations in Health Care: A Scoping Review. Mayo Clinic Proceedings: Digital Health 2024;2(3):421 View
  2. Ayorinde A, Mensah D, Walsh J, Ghosh I, Ibrahim S, Hogg J, Peek N, Griffiths F. Health Care Professionals’ Experience of Using AI: Systematic Review With Narrative Synthesis. Journal of Medical Internet Research 2024;26:e55766 View
  3. Al-Juhani A, Desoky R, Abdullah A, Younes E, Khoja S, Aljohani S, Desoky A. Machine Learning in Predicting Wound Healing and Limb Salvage Outcomes Following Lower Limb Revascularization: A Systematic Review of Prognostic Accuracy. Cureus 2025 View