Cutting-edge technology and automation in the pathology laboratory

Area of Science:

• Medical diagnostics
• Laboratory automation
• Pathology informatics

Background:

• Standardization in pathology is critical for enhancing diagnostic testing precision and patient care.
• Current challenges include algorithm training and data privacy in digital pathology and artificial intelligence.
• Innovative technologies are continuously developed to improve diagnostic testing.

Purpose of the Study:

• To describe the state-of-the-art of automation in pathology laboratories.
• To guide technological progress and evolution in the field.
• To inspire innovation for transformative support in pathology.

Main Methods:

• Review of current automation technologies in pathology.
• Analysis of the integration of digital pathology and artificial intelligence.
• Discussion of standardization in tissue processing, analysis, and reporting.

Main Results:

• Automation is advancing in pathology laboratories, impacting various stages of diagnostic testing.
• Digital pathology and AI are emerging, presenting both opportunities and challenges.
• Adoption of standard practices and new technologies is crucial for progress.

Conclusions:

• Adopting standardized laboratory practices and innovative technologies is vital for advancing pathology.
• Automation and emerging technologies like digital pathology and AI promise to enhance patient care.
• Anticipating laboratory needs can drive innovation for better support of operators, organizations, and patients.