The Dual Impact of Artificial Intelligence in Healthcare: Balancing Advancements with Ethical and Operational Challenges

TL;DR

This paper reviews how AI is transforming healthcare through advancements in diagnostics, precision medicine, and drug discovery, while also addressing ethical challenges like privacy and fairness, to assess its overall impact.

Contribution

It provides a comprehensive analysis of AI's benefits and challenges in healthcare, highlighting both technological progress and ethical concerns.

Findings

AI improves diagnostics and drug development efficiency

Ethical issues such as privacy and fairness are significant challenges

AI's impact in healthcare is still evolving with early-stage applications

Abstract

The synchronic and diachronic study of the evolution of Artificial Intelligence (AI) unveils one prominent fact that its effect can be traced in almost all fields such as healthcare industry. The growth is perceived holistically in software, hardware implementation, or application in these various fields. As the title suggests, the review will highlight the impact of AI on healthcare possibly in all dimensions including precision medicine, diagnostics, drug development, automation of the process, etc., explicating whether AI is a blessing or a curse or both. With the availability of enough data and analysis to examine the topic at hand, however, its application is still functioning in quite early stages in many fields, the present work will endeavour to provide an answer to the question. This paper takes a close look at how AI is transforming areas such as diagnostics, precision medicine, and drug discovery, while also addressing some of the key ethical challenges it brings. Issues like patient privacy, safety, and the fairness of AI decisions are explored to understand whether AI in healthcare is a positive force, a potential risk, or perhaps both.