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Updated: Dec 22, 2025
05:33
Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
673
[Artificial intelligence empowers laboratory medicine in Industry 4.0]
Summary
Artificial intelligence (AI) is revolutionizing medical testing, driving advancements in algorithms, data, and computing power. This integration enhances specimen processing, identifies new biomarkers, and improves diagnostics, moving medical testing towards a highly intelligent future.
Area of Science:
- Medical Diagnostics and Laboratory Medicine
- Artificial Intelligence in Healthcare
Background:
- Global AI strategic development plans (since 2017) signal the 4th industrial revolution, emphasizing intelligence.
- Rapid advancements in AI theories and technologies offer new avenues for medical testing innovation.
Purpose of the Study:
- To review the evolution of AI and its recent progress in algorithms, data, and computing power.
- To elaborate on the synergistic applications of AI and medical testing ('AI + testing').
Main Methods:
- Review of AI evolution and progress in core components (algorithms, data, computing power).
- Analysis of key application dimensions within medical testing, focusing on 'AI + testing' integration.
Main Results:
- AI applications in medical testing include robotic specimen processing (collection, dilution, transfer).
- AI facilitates test item mining (e.g., tumor markers, pharmacogenomics), cytomorphology, data processing, and auxiliary diagnostics.
- Internet-based medical tests are enhanced through AI integration.
Conclusions:
- AI technology is pivotal in advancing medical testing from automation to a highly intelligent stage.
- The integration of AI signifies a paradigm shift in laboratory medicine, aligning with Industry 4.0 principles.
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