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Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology.

Cesare Lancellotti^1,2, Pierandrea Cancian³, Victor Savevski³

¹Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy.

|April 30, 2021

Summary

Artificial Intelligence (AI) enhances pathology by standardizing tissue biomarker evaluation and discovering new predictive information for personalized medicine. This review explores AI

Keywords:

artificial intelligence biomarker pathology personalized medicine

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Area of Science:

Pathology
Biomedical Engineering
Computational Biology

Background:

Tissue biomarkers are crucial for patient stratification in diagnosis, prognosis, and treatment selection, forming the foundation of personalized medicine.
Artificial Intelligence (AI) is emerging as a transformative technology in pathology, with the potential to revolutionize biomarker analysis.

Purpose of the Study:

To review the current applications of AI in evaluating tissue biomarkers within pathology.
To introduce the concept and potential of AI-based biomarkers.
To discuss the future implications, advantages, and risks of AI in pathology.

Main Methods:

Literature review of AI applications in tissue biomarker analysis.
Exploration of AI-based biomarker discovery and predictive modeling.
Discussion of AI's role in standardizing pathological assessments.

Main Results:

AI tools can standardize the evaluation of existing tissue biomarkers, improving consistency and accuracy.
AI has the potential to identify novel tissue-based information, leading to new biomarker discoveries.
AI facilitates the development of predictive models for patient outcomes and treatment responses.

Conclusions:

AI significantly enhances the utility of tissue biomarkers in personalized medicine.
AI-based biomarkers offer new avenues for diagnostic and prognostic applications in pathology.
Careful consideration of advantages, risks, and future perspectives is essential for integrating AI into pathology practice.