Real-World Applications of Explainable AI in Healthcare

Author:

Mahajan Yash1ORCID,Sharma Muskan1ORCID,Singh Inderjeet1ORCID

Affiliation:

1. Chandigarh University, India

Abstract

This chapter delves into the profound impact of explainable artificial intelligence (XAI) on the healthcare sector, emphasizing its pivotal role in elevating diagnostics, treatment modalities, and ultimately, patient outcomes. The integration of artificial intelligence into healthcare has brought about a revolutionary shift, promising unparalleled improvements in patient care and insights gleaned from extensive datasets. A core theme explores XAI as the remedy to demystify intricate decision-making processes inherent in AI algorithms, especially the traditionally opaque deep learning neural networks. The narrative unfolds as a journey showcasing practical applications of XAI in healthcare, illuminating its capacity to equip healthcare professionals with actionable insights, instill trust, and effectively address ethical concerns.

Publisher

IGI Global

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