An exhaustive exploration of explainable AI-driven applications in healthcare, enhancing diagnostic accuracy, treatment efficacy, and patient trust

Abstract

The purpose of this abstract is to offer a comprehensive assessment of the methodologies. Explainable artificial intelligence (XAI) is transforming medical treatment and patient care. It focuses on the several ways that XAI-powered apps are transforming the healthcare environment by enhancing treatment effectiveness, diagnostic accuracy, and patient confidence in AI-assisted healthcare systems. The goal of this research is to look at the use of XAI in diagnosis, therapeutic planning, and continuous patient monitoring. The capacity of XAI to provide a clear rationale for AI judgments is critical in sensitive healthcare situations where trust, openness, and lives are at risk. According to various research studies, artificial intelligence may enhance medical results by leveraging real-world case studies and settings. It also investigates the ethical implications of XAI in healthcare. Patient privacy, algorithm fairness, and legal compliance are all critical considerations here.

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