Artificial intelligence is increasingly becoming integrated into the daily practice of pathology, not as a replacement for the pathologist, but as an invisible layer of support throughout the diagnostic workflow. This plenary presentation follows a pathologist through a typical working day to demonstrate how AI can assist across the pre-analytic, analytic, and post-analytic phases of care. Through practical examples in digital pathology, the talk highlights how AI can help prioritize cases, improve quality control, surface relevant clinical context, assist with image analysis and differential diagnosis, streamline reporting, and enhance patient safety through automated quality assurance. Beyond improving efficiency, these technologies also transform routine pathology workflows into valuable sources of structured clinical and research data. Using real-world diagnostic scenarios, the presentation focuses on the practical clinical impact of AI adoption in pathology and argues that the most effective AI is often the least visible - seamlessly supporting pathologists in delivering faster, safer, and more informed patient care.

Learning Objectives:

1. Describe how AI can support pathologists across the pre-analytic, analytic, and post-analytic phases of their workflow.
2. Identify practical applications of AI in digital pathology that can improve patient care and enhance operational efficiency
3. Discuss how AI-enabled workflows can generate structured data for clinical research and real-world evidence development.