Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …

Pathology laboratories are increasingly using digital workflows. This has the potential of
increasing laboratory efficiency, but the digitization process also involves major challenges …

The interest in implementing digital pathology (DP) workflows to obtain whole slide image
(WSI) files for diagnostic purposes has increased in the last few years. The increasing …

The exchange of large and complex slide microscopy imaging data in biomedical research
and pathology practice is impeded by a lack of data standardization and interoperability …

The field of pathology, which provides tissue diagnoses for clinical and research purposes,
is at the heart of medical decision-making. The current move to digital pathology (DP) is a …

Background Pathology services experienced a surge in demand during the COVID-19
pandemic. Digitalisation of pathology workflows can help to increase throughput, yet many …

Over the past decade, artificial intelligence (AI) methods in pathology have advanced
substantially. However, integration into routine clinical practice has been slow due to …

Abstract Machine learning (ML) is revolutionizing image-based diagnostics in pathology and
radiology. ML models have shown promising results in research settings, but the lack of …

Abstract Machine learning and artificial intelligence are poised to transform pathology.
Technologic advances have continued to develop various pathology subdomains such as …

Background: The implementation of a fully digital workflow in any anatomic pathology
department requires a complete conversion to a tracked system. Ensuring the strict …