Digital Pathology: Advantages, Limitations and Emerging Perspectives
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 r...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Journal of Clinical Medicine |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0383/9/11/3697 |
| _version_ | 1797547553363853312 |
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| author | Stephan W. Jahn Markus Plass Farid Moinfar |
| author_facet | Stephan W. Jahn Markus Plass Farid Moinfar |
| author_sort | Stephan W. Jahn |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T14:45:42Z |
| format | Article |
| id | doaj.art-4391134362f1413db962cb047c44d36e |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-10T14:45:42Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-4391134362f1413db962cb047c44d36e2023-11-20T21:21:38ZengMDPI AGJournal of Clinical Medicine2077-03832020-11-01911369710.3390/jcm9113697Digital Pathology: Advantages, Limitations and Emerging PerspectivesStephan W. Jahn0Markus Plass1Farid Moinfar2Diagnostic and Research Institute of Pathology, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, AustriaDiagnostic and Research Institute of Pathology, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, AustriaDiagnostic and Research Institute of Pathology, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, AustriaDigital 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.https://www.mdpi.com/2077-0383/9/11/3697digital pathologymachine learningartificial intelligencewhole slide imagingoccupational healthcomputer vision syndrome |
| spellingShingle | Stephan W. Jahn Markus Plass Farid Moinfar Digital Pathology: Advantages, Limitations and Emerging Perspectives Journal of Clinical Medicine digital pathology machine learning artificial intelligence whole slide imaging occupational health computer vision syndrome |
| title | Digital Pathology: Advantages, Limitations and Emerging Perspectives |
| title_full | Digital Pathology: Advantages, Limitations and Emerging Perspectives |
| title_fullStr | Digital Pathology: Advantages, Limitations and Emerging Perspectives |
| title_full_unstemmed | Digital Pathology: Advantages, Limitations and Emerging Perspectives |
| title_short | Digital Pathology: Advantages, Limitations and Emerging Perspectives |
| title_sort | digital pathology advantages limitations and emerging perspectives |
| topic | digital pathology machine learning artificial intelligence whole slide imaging occupational health computer vision syndrome |
| url | https://www.mdpi.com/2077-0383/9/11/3697 |
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