Surveying the future of AI in healthcare

Researchers are continuously pushing the boundaries of what can be achieved in healthcare and life sciences organizations with the help of AI. Some of these areas are new and experimental, while others have shown promise and are in various stages of prototyping. The following sections detail some of the new and upcoming trends in the future of AI in healthcare and life sciences.

Reinforcement learning

Reinforcement learning is a technique in ML that involves an AI algorithm learning the right sequence of decisions for a problem based on trial and error. An agent evaluates each trial made by the algorithm based on certain rules. The correct decisions made by the algorithm are awarded by the agent, while the incorrect ones are penalized. The overall goal of the algorithm is to maximize the reward. The point to note here is that, unlike supervised learning algorithms where the initial set of correct and incorrect outputs are fed into the...