Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16323, first published .
The Last Mile: Where Artificial Intelligence Meets Reality

The Last Mile: Where Artificial Intelligence Meets Reality

The Last Mile: Where Artificial Intelligence Meets Reality

Authors of this article:

Enrico Coiera 1 Author Orcid Image

Journals

  1. Wang Y, Coiera E, Magrabi F. Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?. Journal of the American Medical Informatics Association 2020;27(10):1502 View
  2. Sorigue M, Cañamero E, Sancho J. Precision medicine in follicular lymphoma: Focus on predictive biomarkers. Hematological Oncology 2020;38(5):625 View
  3. Eysenbach G. Celebrating 20 Years of Open Access and Innovation at JMIR Publications. Journal of Medical Internet Research 2019;21(12):e17578 View
  4. Komorowski M. Clinical management of sepsis can be improved by artificial intelligence: yes. Intensive Care Medicine 2020;46(2):375 View
  5. Pedretti A, Mazzolari A, Gervasoni S, Vistoli G. Tree2C: A Flexible Tool for Enabling Model Deployment with Special Focus on Cheminformatics Applications. Applied Sciences 2020;10(21):7704 View
  6. Jucha P, Kliestik T. Use of artificial intelligence in last mile delivery. SHS Web of Conferences 2021;92:04011 View
  7. Lyell D, Coiera E, Chen J, Shah P, Magrabi F. How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices. BMJ Health & Care Informatics 2021;28(1):e100301 View