Leveraging AI in Clinical Diagnosis: A Paradigm Shift in Medical Decision-Making

Authors

  • Dr. Taran Rishit Undru

Keywords:

Mobile application, Instagram, Google meet and Speaking accuracy, Integration, Artificial Intelligence (AI), Clinical diagnosis, healthcare professionals

Abstract

The integration of Artificial Intelligence (AI) in clinical diagnosis heralds a significant shift in medical decision-making, enhancing diagnostic accuracy and efficiency while introducing new ethical and operational challenges. This review delves into the latest advancements, applications, and implications of AI in clinical diagnostics, discussing its potential to transform healthcare practices.

References

Leveraging AI in Clinical Diagnosis: A Paradigm Shift in Medical Decision-Making

Downloads

Published

2023-12-30

Issue

Vol. 23 No. 5 (2023): LJRCST Volume 23 Issue 5

Section

Articles

License

Copyright (c) 2023 Authors and Global Journals Private Limited

Creative Commons License

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

How to Cite

Leveraging AI in Clinical Diagnosis: A Paradigm Shift in Medical Decision-Making. (2023). London Journal of Research In Computer Science and Technology, 23(5), 43-54. https://journalspress.uk/index.php/LJRCST/article/view/861