AI in healthcare domain

Authors

  • Dhruvitkumar Talati Author

DOI:

https://doi.org/10.60087/jklst.vol2.n3.p262

Keywords:

Artificial Intelligence, Healthcare, Machine Learning, Diagnostics, Treatment Optimization

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in the healthcare domain, revolutionizing various aspects of medical research, diagnostics, treatment, and patient care. This paper provides an overview of recent developments and applications of AI in healthcare, highlighting its potential to enhance efficiency, accuracy, and accessibility in medical practices. The integration of machine learning algorithms, natural language processing, and computer vision techniques has enabled AI systems to analyze vast amounts of medical data, support clinical decision-making, and personalize treatment plans. Additionally, AI-powered technologies play a crucial role in predictive analytics, early disease detection, and the optimization of healthcare workflows. Despite the promising advancements, challenges related to data privacy, ethical considerations, and regulatory frameworks need to be addressed to fully harness the benefits of AI in healthcare.

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Published

12-12-2023

How to Cite

Talati, D. (2023). AI in healthcare domain. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 2(3), 256-262. https://doi.org/10.60087/jklst.vol2.n3.p262