  Recent advances in quantitative phase imaging (QPI) and artificial
intelligence (AI) have opened up the possibility of an exciting frontier. The
fast and label-free nature of QPI enables the rapid generation of large-scale
and uniform-quality imaging data in two, three, and four dimensions.
Subsequently, the AI-assisted interrogation of QPI data using data-driven
machine learning techniques results in a variety of biomedical applications.
Also, machine learning enhances QPI itself. Herein, we review the synergy
between QPI and machine learning with a particular focus on deep learning.
Further, we provide practical guidelines and perspectives for further
development.
