Throughout history, all medical decision-making has relied upon anecdote, expert opinion, and cumbersome and limited clinical trials with delayed or nonexistent post hoc analysis and validation.
More recently with the advent of large, connected datasets and AI, the exciting potential has arisen to develop methods to optimize and validate medical decision-making. These AI approaches can be applied universally across medicine, and there is a particularly high expertise currently focused on ophthalmology.
AI and machine learning have had an impact on all sectors of our society, and medicine is