THE IMPACT OF ARTIFICIAL INTELLIGENCE ON DIAGNOSTICS IN HEALTHCARE

Authors

  • Dr. Syed Ali Shah Aga Khan University, Department of Biomedical Informatics, Karachi, Pakistan. Author

DOI:

https://doi.org/10.71465/hjmri.113

Keywords:

Artificial Intelligence, Machine Learning, Deep Learning, Healthcare Diagnostics, Radiology, Pathology, Genomics, Personalized Medicine, Ethical Concerns, Data Privacy

Abstract

Artificial intelligence (AI) is transforming the landscape of healthcare, particularly in the field of diagnostics. By utilizing advanced machine learning (ML) algorithms, deep learning (DL), and natural language processing (NLP), AI systems are enhancing the accuracy, speed, and efficiency of medical diagnoses. This article explores the impact of AI on diagnostics, focusing on its applications in radiology, pathology, dermatology, and genomics. The use of AI technologies is improving early detection, reducing human error, and enabling personalized treatment plans. Despite the numerous advantages, challenges such as data privacy, ethical concerns, and integration into existing healthcare systems persist. This article examines these challenges and discusses the future potential of AI in revolutionizing healthcare diagnostics.

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Published

2025-03-20

Issue

Vol. 5 No. 3 (2025): Holistic Journal of Multidisciplinary Research Innovation

Section

Articles

License

Copyright (c) 2025 Dr. Syed Ali Shah (Author)

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

All articles published in the Holistic Journal of Multidisciplinary Research Innovation are licensed under an open access model. Authors retain copyright of their work and grant the journal the right of first publication. The content may be freely used, distributed, and reproduced in any medium, provided the original work is properly cited and remains unaltered.