Digital pathology transforms traditional tissue analysis by converting glass slides into high-resolution digital images, enabling pathologists to perform diagnosis, share cases, and collaborate remotely via virtual microscopy. This digital workflow enhances efficiency by eliminating time-consuming handling of physical slides, reducing reliance on physical archives, and accelerating turnaround times.
It also broadens access to expert opinion, enabling telepathology applications like remote primary diagnosis, second opinions, and digital education. With the integration of AI and machine learning, digital pathology supports automated image analysis—such as identifying cellular structures, quantifying biomarkers, and highlighting areas of interest—which can improve accuracy and consistency while reducing manual workload.
Emerging innovations further enrich the field, from immersive mixed-reality interfaces that allow intuitive navigation of massive digital slide files to modular, vendor-neutral platforms that standardize AI integration across systems. While enabling scalability, diagnostics precision, and collaboration, digital pathology requires investment in IT infrastructure and training to fully realize its transformative potential.