1. Introduction
Artificial Intelligence (AI) has emerged as a transformative technology in healthcare...
2. Methodology
We conducted a systematic review of peer-reviewed literature...
3. Results
Our analysis reveals significant improvements in diagnostic accuracy...
4. Discussion
The integration of AI in healthcare presents both opportunities and challenges...
5. Conclusion
AI continues to revolutionize healthcare delivery and patient outcomes...
References
[1] Smith, J. et al. (2023). AI in Medicine. Nature Medicine.
[2] Johnson, K. (2024). Machine Learning Applications. IEEE Transactions.
Artificial Intelligence in Healthcare: A Comprehensive Review
Sarah Johnson
MIT
DOI: 10.1234/journal.v1.1.001
Published: January 15, 2024
Research Articles
Abstract
This paper presents a comprehensive review of artificial intelligence applications in healthcare. We examine machine learning algorithms for disease diagnosis, natural language processing for medical records, and computer vision for medical imaging. The review covers recent advances from 2020-2024 and discusses challenges in implementation, ethical considerations, and future directions. Our analysis shows that AI has significantly improved diagnostic accuracy by 15-20% across multiple medical domains.
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Article Info
-
Issue:
Vol. 1 No. 1 (2024): Inaugural Issue -
Section:
Research Articles -
Submitted:
November 15, 2023 -
Published:
January 15, 2024 -
DOI:
10.1234/journal.v1.1.001
How to Cite
Sarah Johnson (2024). "Artificial Intelligence in Healthcare: A Comprehensive Review." Abhidakara Jurnal, 1(1). doi:10.1234/journal.v1.1.001