Utility of facial imaging and machine learning in the evaluation of fetal alcohol spectrum disorders.
Academic Article
Overview
abstract
The last two decades have witnessed a remarkable transformation in the integration of artificial intelligence in healthcare. Similarly, our understanding of fetal alcohol spectrum disorders (FASD) has expanded and the data points now being considered are far more granular. In this article, we will review how investigators have attempted to apply technological innovations to enhance our knowledge of FASD and to fill some of the gaps that exist regarding access to experienced diagnosticians. We will summarize the salient studies to date and highlight future directions in terms of how the technology can move from research to healthcare delivery.
