Explainable A.I. in Healthcare

Abstract

Explainable AI in healthcare is an emerging field with enormous potential to change the structure of the modern healthcare industry. The automation of assistive healthcare and its evolution with the help of ML algorithms and Deep neural nets will play an essential role in advancing the current healthcare infrastructure in the future. Explainable AI can help solve the lack of trust in these near blackbox neural networks in an industry like healthcare where the decision making process to achieve the result holds as much importance as the results themselves. Explainable AI models like LIME, SHAM, decision sets, etc plays a vital role in developing in depth understanding of a prediction model and the factors that lead to a predictions made by it, with this constant learning and feedback not only is it possible to create a transparent model but also improve on the results with human feedback to fine tune the model for a higher degree of accuracy than before.

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