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

Artificial Intelligence (2129) Clinical Information and Decision Making (1915) Information Retrieval (348) Decision Support for Health Professionals (1539) Machine Learning (2076)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46929, first published .
Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping Review

Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping Review

Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping Review

Authors of this article:

Julia Cummerow1 Author Orcid Image ;   Christin Wienecke1 Author Orcid Image ;   Nicola Engler1 Author Orcid Image ;   Philip Marahrens1 Author Orcid Image ;   Philipp Gruening2 Author Orcid Image ;   Jost Steinhäuser1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Corriger J, Chantran Y, Martinroche G, de Morais N, Guemari A, Dubois M, Charpy J, Bonnac J, Attia L, Nemni A, Vitte J, Demoly P, Goret J. Le diagnostic des allergies chez l’atopique, vers l’utilisation de l’intelligence artificielle. Bulletin de l'Académie Nationale de Médecine 2025;209(6):807 View
  2. Katonai G, Arvai N, Mesko B. Artificial Intelligence and Primary Care: A Scoping Review (Preprint). Journal of Medical Internet Research 2024 View
  3. Dubois M, de Morais N, Bonnac J, de Saint Jore M, Chantran Y, Goret J. L’intelligence artificielle, le Machine Learning et les modèles de langage au service de l’interprétation des bilans d’allergologie. Revue Francophone des Laboratoires 2025;2025(574):59 View