AI in HealthCare

Authors

  • Mahadev Mastud Data Science M Tech, SPPU, Pune, Maharashtra, India Author

DOI:

https://doi.org/10.32628/IJSRST25121152

Abstract

Artificial Intelligence (AI) is revolutionizing the healthcare industry by enhancing diagnostics, streamlining workflows, and enabling more personalized patient care. By leveraging powerful algorithms and vast amounts of data, AI can identify patterns, predict outcomes, and assist healthcare professionals in making informed decisions. This introduction explores the transformative role of AI in healthcare, highlighting its applications, benefits, challenges, and potential for future advancements. From improving diagnostic accuracy to optimizing administrative processes, AI is reshaping the way healthcare is delivered, promising increased efficiency, reduced costs, and better patient outcomes. However, its integration into healthcare systems also raises ethical, regulatory, and practical considerations that must be addressed to fully realize its potential.

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References

Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.

Esteva, A., Kuprel, B., Novoa, R. A., et al. (2017). "Dermatologist-level classification of skin cancer with deep neural networks." Nature, 542(7639), 115-118. DOI: https://doi.org/10.1038/nature21056

Rajpurkar, P., Irvin, J., Zhu, K., et al. (2018). "CheXNet: Radiologist-level pneumonia detection on chest X-rays with deep learning." arXiv preprint arXiv:1711.05225.

Amann, J., Lissner, A., & Heinsohn, D. (2021). "Artificial intelligence in healthcare: Current applications and future trends." Journal of Healthcare Engineering, 2021, 5528779.

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Published

07-01-2025

Issue

Section

Research Articles

How to Cite

AI in HealthCare. (2025). International Journal of Scientific Research in Science and Technology, 12(1), 34-36. https://doi.org/10.32628/IJSRST25121152