This thesis focused on the application of artificial intelligence techniques in the field of anesthesiology. Several machine learning algorithms were explored in this thesis to address two main clinical research questions which resulted in: 1. A novel AI based universal sedation level prediction framework, and 2. A novel AI based framework to identify natural sleep promoting drugs. Several features from the time, frequency and entropy domains were developed to address these questions.