A Taxonomy on AI-Enabled Healthcare Revolution: Transformative Applications, Ethical Considerations, and Future Perspectives

Authors

  • Venugopal Reddy Modhugu Senior Member of Technical Staff, Oracle, VA, USA
  • Sriram Boddu Data Engineer, CrossCountry Mortgage, NC, USA

Keywords:

Artificial Intelligence, Healthcare, Medical Innovation, Ethical Implications, Technology Integration, Patient Care, Data Analytics, Machine Learning Algorithms, Future Perspectives

Abstract

The integration of Artificial Intelligence (AI) in healthcare has ushered in a transformative era, redefining medical practices, diagnostics, and patient care. This paper examines the multifaceted implications and promising prospects of AI in the healthcare landscape. The study investigates the tangible contributions of AI-enabled diagnostic tools, revealing a substantial enhancement in accuracy rates surpassing conventional methodologies. Leveraging machine learning algorithms, these tools showcased an average accuracy improvement of 20-30% in interpreting medical imaging data, revolutionizing disease detection and expediting treatment initiation. Additionally, AI's application in personalized medicine has demonstrated significant strides by tailoring treatment plans to individual patient profiles. Through comprehensive analysis of genetic markers, medical history, and lifestyle factors, a notable 50% reduction in adverse drug reactions has been observed, promising heightened treatment efficacy and patient safety. However, amidst these advancements, ethical considerations loom prominently. Concerns over algorithmic bias and data privacy underscore the imperative need for robust regulatory frameworks and ethical guidelines to ensure equitable, transparent, and secure AI deployment in healthcare settings. Furthermore, AI-driven healthcare management showcased a commendable 25% increase in operational efficiency within healthcare facilities. Streamlining administrative tasks facilitated by AI allocation, such as patient scheduling and resource management, enabled healthcare professionals to allocate more time to direct patient care.

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Published

24.03.2024

How to Cite

Modhugu, V. R. ., & Boddu, S. . (2024). A Taxonomy on AI-Enabled Healthcare Revolution: Transformative Applications, Ethical Considerations, and Future Perspectives. International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 118–124. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5051

Issue

Vol. 12 No. 19s (2024)

Section

Research Article

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