Digital pathology: Sharpening the edge of disease detection
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At the heart of many accurate diagnosis lies pathology—the study of tissues and cells to identify the causes of diseases. The digital revolution is injecting new speed and precision into how we understand and identify diseases.
For decades, pathology has been the silent cornerstone of modern medicine.
Hidden in laboratories, pathologists meticulously studied tissue samples under microscopes, analyzing potential disease signals cell by cell. This process was often slow, painstaking, and constrained by the location of pathologists and their labs.
For instance, if a second opinion was needed, slides with thin sections of stained tissue have to be transported between different hospitals, sometimes across towns or even across a country. If issues arise, this can cause bottlenecks in the sample process, increase the chance of losing or even damaging the stained tissue samples, putting the accuracy of the diagnosis at risk..
Digital pathology shatters these limitations. High-resolution scanners, smart software, AI tools and image analysis algorithms can now empower pathologists to view, analyze, and share images electronically. The impact on pathologists and healthcare is immediate. Digital pathology helps reduce turnaround times, decrease pending cases, and the overall workload.1
The real-life impact
The Clinica Universidad de Navarra in Pamplona, Spain, featured in the short film below, stands as a prime example of digital pathology and the tangible benefits of this shift.
"Better diagnoses mean a better healthcare system," states Dr. Dolores Lozano Escario, Co-Director of the Department of Pathology and Head of the Cytopathology Area at the Clínica Universidad de Navarra.
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Digital pathology allows us to be more accurate, more precise, and to provide richer information to our clinical colleagues. These digital tools are essential.
Take a look at our Digital Pathology solutionsto learn more about how we’re helping shape this future, one diagnosis at a time.
References
Comparison of the efficiency of digital pathology with the conventional methodology for the diagnosis of biopsies in an anatomical pathology laboratory in Spain, Journal of Pathology Informatics, Volume 17, 2025,100439,ISSN 2153-3539, Accessed 20 May 2025. https://doi.org/10.1016/j.jpi.2025.100439. (https://www.sciencedirect.com/science/article/pii/S2153353925000240