Industry Insights: The Digital Transformation of Pathology

Digital pathology has faced slow adoption due to various challenges.

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

Second-generation systems automate quality control for efficiency.

AI is reshaping workflow and enabling more accurate diagnostics.

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

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

Automation and intelligent systems are critical for future advancements.