Decision support or autonomous artificial intelligence? The case of wrong blood in tube errors.
Journal:
Clinical chemistry and laboratory medicine
Published Date:
Nov 1, 2021
Abstract
OBJECTIVES: Artificial intelligence (AI) models are increasingly being developed for clinical chemistry applications, however, it is not understood whether human interaction with the models, which may occur once they are implemented, improves or worsens their performance. This study examined the effect of human supervision on an artificial neural network trained to identify wrong blood in tube (WBIT) errors.
