Ingole, Balaji Shesharao and Ramineni, Vishnu and Pulipeta, Nikhil Kumar and Kathiriya, Manoj Jayntilal and Krishnappa, Manjunatha Sughaturu and Jayaram, Vivekananda (2024) The Dual Impact of Artificial Intelligence in Healthcare: Balancing Advancements with Ethical and Operational Challenges. European Journal of Computer Science and Information Technology, 12 (6). pp. 35-45. ISSN 2054-0957 (Print), 2054-0965 (Online)
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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.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Depositing User: | Professor Mark T. Owen |
| Date Deposited: | 17 Oct 2024 08:46 |
| Last Modified: | 17 Oct 2024 08:46 |
| URI: | https://tudr.org/id/eprint/3483 |
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