Quantum mechanics

Scale (ratio)

Engineering

Philosophy

Realm

Implementation

Image processing

Digital imaging

Computer science

Radiology

Mainstream

Mechanical engineering

Physics

Image (mathematics)

Political science

Digital pathology

Work (physics)

Data science

Artificial intelligence

Digital image

Medicine

Programming language

Theology

Gold standard (test)

Pathology

Journal of Clinical Medicine

Digital pathology is on the verge of becoming a mainstream option for routine diagnostics. Faster whole slide image scanning has paved the way for this development, but implementation on a large scale is challenging on technical, logistical, and financial levels. Comparative studies have published reassuring data on safety and feasibility, but implementation experiences highlight the need for training and the knowledge of pitfalls. Up to half of the pathologists are reluctant to sign out reports on only digital slides and are concerned about reporting without the tool that has represented their profession since its beginning. Guidelines by international pathology organizations aim to safeguard histology in the digital realm, from image acquisition over the setup of work-stations to long-term image archiving, but must be considered a starting point only. Cost-efficiency analyses and occupational health issues need to be addressed comprehensively. Image analysis is blended into the traditional work-flow, and the approval of artificial intelligence for routine diagnostics starts to challenge human evaluation as the gold standard. Here we discuss experiences from past digital pathology implementations, future possibilities through the addition of artificial intelligence, technical and occupational health challenges, and possible changes to the pathologist’s profession.

Digital Pathology: Advantages, Limitations and Emerging Perspectives