Literature Review: The Use of AI in Biomedical Applications

Authors

  • Sharanabasappa Research Scholar, Institute of Computer Science and Information Science, Srinivas University, Mangalore, Karnataka, India.
  • S. Soumya Assistant Professor, Institute of Computer Science and Information Science, Srinivas University, Mangalore, Karnataka, India.

DOI:

https://doi.org/10.61808/jsrt144

Keywords:

Artificial Intelligence, Machine Learning, Medical Imaging, Genomics, Drug Discovery, Personalized Medicine, Predictive Analytics, Data Quality, Model Interpretability

Abstract

Artificial Intelligence (AI) has profoundly influenced the field of biomedicine, offering innovative solutions to complex challenges in medical diagnostics, drug discovery, and personalized treatment. This review examines the current state of AI applications in biomedicine, focusing on advancements in medical imaging, genomics, drug discovery, and personalized medicine. We discuss recent breakthroughs, explore the impact of AI on these areas, and address key challenges such as data quality, model interpretability, and integration into clinical practice. Finally, we propose future research directions to enhance the effectiveness and integration of AI in biomedicine. This review highlights the transformative potential of AI in improving healthcare outcomes and driving future innovations.

Published

18-09-2024

How to Cite

Sharanabasappa, & S. Soumya. (2024). Literature Review: The Use of AI in Biomedical Applications. Journal of Scientific Research and Technology, 2(9), 85–88. https://doi.org/10.61808/jsrt144