Industry Insights: The Digital Transformation of Pathology

7 Key Takeaways

• 1

  Digital pathology has faced slow adoption due to various challenges.

• 2

  Advances in imaging and AI are bridging the gap to practical applications.

• 3

  Second-generation systems automate quality control for efficiency.

• 4

  AI is reshaping workflow and enabling more accurate diagnostics.

• 5

  DICOM is emerging as a key interoperability standard in the field.

• 6

  Partnerships between labs and pharmaceutical companies could revolutionize data use for patient safety and ethical research.

• 7

  Automation and intelligent systems are critical for future advancements.