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This paper is in the following e-collection/theme issue:

Artificial Intelligence in Diabetes Care and Prevention (116) Clinical Information and Decision Making (3868) Neurology and Neurosciences (397) Electronic Health Records (1787) Machine Learning (3319) Chronic Foot Ulcer and Wounds (40)

Published on in Vol 10 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60141, first published .
Dentist shows dental X-ray on tablet to patient in clinic

Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study

Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study

Authors of this article:

Alyce S Adams1 Author Orcid Image ;   Catherine Lee2 Author Orcid Image ;   Gabriel Escobar2 Author Orcid Image ;   Elizabeth A Bayliss3 Author Orcid Image ;   Brian Callaghan4 Author Orcid Image ;   Michael Horberg5 Author Orcid Image ;   Julie A Schmittdiel2 Author Orcid Image ;   Connie Trinacty6 Author Orcid Image ;   Lisa K Gilliam7 Author Orcid Image ;   Eileen Kim8 Author Orcid Image ;   Nima S Hejazi9 Author Orcid Image ;   Lin Ma1 Author Orcid Image ;   Romain Neugebauer2 Author Orcid Image
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Journals

  1. Pyrzanowska K, Smith E, Ramalingam C, Greig M, Gandhi R, Heyes S, Sanger D, Smith T, Partridge D, Stafford G. A Survey of the Microbiome, Culturome and ARG Profile of a Cohort of Chronic Diabetic Foot Lesions. APMIS 2026;134(4) View
  2. Orozco-Romero K, Pariona-Torres J, Cornejo J. Artificial Intelligence Algorithms for Early Detection and Risk Stratification of Type 2 Diabetes Mellitus, Multimodal Bioinformatic Phenotyping, and Its Complications: A Technical Review of Classical Machine Learning, Deep Learning, and Post-Hoc Feature Attribution. Bioengineering 2026;13(10):1132 View