5 Key Takeaways

• 1

  AI tools in medicine are rapidly being deployed without adequate governance frameworks for validation and performance monitoring.

• 2

  Health systems often misclassify AI as an IT problem, neglecting the need for rigorous oversight akin to clinical laboratory standards.

• 3

  Clinical AI tools can silently degrade in performance, leading to potential misdiagnoses without visible alerts for clinicians.

• 4

  There is a lack of clarity on accountability and regulatory frameworks for AI tools, leaving clinicians unaware of validation processes.

• 5

  Pathologists and laboratory medicine professionals are uniquely qualified to establish governance structures for AI in healthcare.