Published on in Vol 7, No 4 (2019): Oct-Dec

A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study

A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study

A Deep Learning Approach for Managing Medical Consumable Materials in Intensive Care Units via Convolutional Neural Networks: Technical Proof-of-Concept Study

Journals

  1. Nguyen D, Ngo B, vanSonnenberg E. AI in the Intensive Care Unit: Up-to-Date Review. Journal of Intensive Care Medicine 2021;36(10):1115 View
  2. Martin L, Peine A. Was ist neu … Einsatz von künstlicher Intelligenz in der Intensivmedizin. Der Anaesthesist 2021;70(1):40 View
  3. Redelmeier D, Thaler R. One nudge for hand hygiene. BMJ Innovations 2021;7(2):249 View
  4. Luo J, Wang Y, Zhang Y, Yan X, Huang X, Zhao F. Research, development, and evaluation of the practical effect of a storage inflow and outflow management system for consumables in the endocrinology department of a hospital. BMC Medical Informatics and Decision Making 2022;22(1) View
  5. Arzamasov K, Drogovoz V, Bobrovskaya T, Vladzymyrskyy A. Tele-ultrasound imaging using smartphones and single-board PCs. Digital Diagnostics 2023;4(1):15 View
  6. See K. Improving environmental sustainability of intensive care units: A mini-review. World Journal of Critical Care Medicine 2023;12(4):217 View

Books/Policy Documents

  1. Munavalli J, Bindu S. , Shirur Y. Convergence of Deep Learning and Internet of Things. View
  2. Ji N. Artificial Intelligence in Anesthesiology. View