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

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Research ID HPH8I

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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.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

Not applicable

Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

Funding

This work did not receive any external funding.

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  • Classification

    ACM Code: I.2.10

  • Version of record

    v1.0

  • Issue date

    30 December 2023

  • Language

    English

Research scientists analyzing DNA structures in a digital environment.
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