Implementation of Reinforcement Learning and Imaging for Better Decision-making in the Medical Sector

Improvement in technology has changed the course of our modern life of human society. Moreover, rudimental needs like healthcare are deeply impacted by the adaptation of modern technology. Furthermore, technologies like artificial intelligence and deep learning have positively impacted fields like health care. Therefore, the study has a discussion about the implications of reinforcement learning which is a part of deep learning and machine learning, for advanced learning in health care. The discussion of different factors for medical imaging is presented in a table format for obtaining an idea of the process of reinforcement learning. At the same time, the implication of different Convolutional neural networks for the identification of pixel data is defined in the study. Similarly, the significance of advanced imaging and the possibility of advanced decision-making are discussed in the study. In end, the discussion of problems regarding imaging in medical decision-making provides an overall context of the possible gaps that require improvement.