Digital Pathology: Advantages, Limitations and Emerging Perspectives.

J Clin Med

Diagnostic and Research Institute of Pathology, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria.

Published: November 2020

AI Article Synopsis

  • Digital pathology is emerging as a viable option for routine diagnostics, thanks to faster whole slide imaging, but faces significant technical, logistical, and financial hurdles for widespread adoption.
  • Research shows it's safe and feasible, yet many pathologists are hesitant to rely solely on digital slides, emphasizing the importance of training and awareness of potential issues.
  • Guidelines exist to structure the digital pathology process, but further comprehensive studies on cost, health impacts, and integration with AI are necessary to support its transition in the field.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698715PMC
http://dx.doi.org/10.3390/jcm9113697DOI Listing

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