ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS: TRANSFORMING CLINICAL DECISION-MAKING

Authors

  • Dr. Muhammad Ali Khan Assistant Professor, Department of Computer Science, University of Lahore, Pakistan Author
  • Dr. Sana Iqbal Lecturer, Department of Artificial Intelligence, University of Lahore, Pakistan Author
  • Dr. Joann G. Elmore Professor, Department of Health Care Delivery, UCLA, USA Author
  • Dr. Anant Madabhushi Professor, Department of Biomedical Engineering, Emory University, USA Author

DOI:

https://doi.org/10.71465/jhmri51

Keywords:

Artificial Intelligence, Medical Diagnostics, Clinical Decision-Making, Machine Learning, Deep Learning, Medical Imaging

Abstract

Artificial Intelligence (AI) is revolutionizing medical diagnostics by enhancing clinical decision-making processes. This paper explores the integration of AI technologies in diagnostic practices, focusing on their impact on accuracy, efficiency, and patient outcomes. We examine various AI applications, including machine learning algorithms, deep learning models, and natural language processing, in the context of medical imaging, electronic health records, and predictive analytics. Furthermore, the paper discusses the challenges and ethical considerations associated with AI implementation in healthcare settings. Through a comprehensive review of current literature and case studies, we highlight the transformative potential of AI in shaping the future of medical diagnostics.

References

Ahmad, N. R. (2026). AI-enabled public governance in developing states: Service delivery gains, accountability risks, and a practical risk-based regulatory model. Lex Localis - Journal of Local Self-Government, 24(S1), 99–117. https://doi.org/10.52152/wja5db40

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Published

2023-03-31

Issue

Vol. 1 No. 1 (2023): Journal of Health, Medical Research and Innovations

Section

Articles

License

Copyright (c) 2023 Dr. Muhammad Ali Khan, Dr. Sana Iqbal, Dr. Joann G. Elmore, Dr. Anant Madabhushi (Author)

Creative Commons License

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

All articles published in the Journal of Health, Medical Research and Innovations are distributed under an open access license. Authors retain copyright and grant the journal the right of first publication. The published content can be freely accessed, shared, and reused for non-commercial purposes, provided proper citation is maintained and the original work is not altered.