Artificial Intelligence in Medical Laboratories: Emerging Applications in Biochemistry and Microbiology: Future Directions

  1. Necip Uyar

Reviewed by

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

Log in to save this article

Abstract

The accelerating digital transformation of healthcare systems has positioned artificial intelligence (AI) as a crucial tool for enhancing the efficiency and accuracy of medical services. This review examines the emerging applications of AI within biochemistry and microbiology, two fundamental laboratory disciplines vital to diagnosis and treatment. The core discussion centers on how AI is revolutionizing processes through data analysis, enabling predictive diagnosis, and automating workflows to significantly reduce human error. In biochemistry, the "clinlabomics" approach transforms routine tests into strategic data sources for early disease prediction and risk estimation, while in microbiology, AI accelerates pathogen detection and drives the discovery of new antimicrobial agents. Shared challenges, including data privacy and the need for explainable AI, are analyzed. Ultimately, the successful and sustainable integration of AI into these laboratories will fundamentally improve patient outcomes and reshape the future of clinical diagnostics.

Article activity feed

  1. PREreview

    This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/17604360.

    Does the introduction explain the objective of the research presented in the preprint? Yes The objectives were well stated
    Are the methods well-suited for this research? Somewhat appropriate The methods are not explicit enough The criteria are not clearly determined, neither are the methods clearly described.
    Are the conclusions supported by the data? Highly supported
    Are the data presentations, including visualizations, well-suited to represent the data? Highly appropriate and clear It's possible to add more visualization aids
    How clearly do the authors discuss, explain, and interpret their findings and potential next steps for the research? Very clearly The conclusion gave more clarity to the results
    Is the preprint likely to advance academic knowledge? Highly likely
    Would it benefit from language editing? No
    Would you recommend this preprint to others? Yes, but it needs to be improved Avoid repetitions, make it more concise Rephrase the title, make it more informative
    Is it ready for attention from an editor, publisher or broader audience? Yes, after minor changes New title and more concise

    Competing interests

    The authors declare that they have no competing interests.

    Use of Artificial Intelligence (AI)

    The authors declare that they did not use generative AI to come up with new ideas for their review.

  2. Version published to 10.20944/preprints202509.2408.v1