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Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43963, first published .
Doctor interacting with a holographic brain scan on a futuristic tablet

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
  4. Spagnoli J, Guzman N, Desai K, Chang T, Bell A, Gilbert V, Lehn S, Parekh V, Sjoding M, Wong A. Optimizing Large Language Models for Hospital Discharge Prediction. Journal of General Internal Medicine 2026 View