The Rise of AI-Assisted Diagnosis: Will Pathologists Be Partners or Bystanders?

Area of Science:

• Pathology
• Medical Technology
• Artificial Intelligence

Background:

• Pathology has evolved over 150 years from microscopic tissue examination to digital pathology and AI.
• Digital pathology overcame limitations of conventional microscopy, enabling AI integration.
• AI offers automated diagnostics, enhanced precision, accelerated research, and improved medical education.

Purpose of the Study:

• To review the evolution of pathology and digital pathology.
• To critically evaluate the feasibility, limitations, and implications of a pathologist-independent AI diagnostic model.
• To explore the future role of pathologists in an increasingly automated field.

Main Methods:

• Historical review of microscopy and pathology advancements.
• Analysis of digital pathology's impact on diagnostic workflows.
• Critical assessment of AI's potential for autonomous diagnostic capabilities.

Main Results:

• AI integration is revolutionizing pathology workflows with significant opportunities.
• Few studies critically examine the feasibility of fully autonomous AI diagnostics.
• The review uniquely addresses the potential for a pathologist-free diagnostic model.

Conclusions:

• AI's rapid advancement necessitates an examination of its potential for diagnostic autonomy.
• The evolving role of pathologists in the face of automation requires careful consideration.
• Assessing AI's ability to sustain diagnostic accuracy without pathologist oversight is crucial.