Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning.

Study outcomes demonstrated that the user-avatar bond can be translated into accurate, concurrent and future GD risk predictions using trained AI classifiers. Assessment, prevention, and practice implications are discussed in the light of these findings.