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Artificial Intelligence in Pediatric Pathology: The Extinction of a Medical Profession or the Key to a Bright Future?
Princess Maxima Ctr Pediat Oncol, Netherlands.
Princess Maxima Ctr Pediat Oncol, Netherlands.
Radboud Univ Nijmegen, Netherlands.
Linköpings universitet, Institutionen för hälsa, medicin och vård, Avdelningen för diagnostik och specialistmedicin. Linköpings universitet, Medicinska fakulteten. Region Östergötland, Diagnostikcentrum, Klinisk patologi. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV. Radboud Univ Nijmegen, Netherlands.ORCID-id: 0000-0001-7982-0754
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2022 (engelsk)Inngår i: Pediatric and Developmental Pathology, ISSN 1093-5266, E-ISSN 1615-5742, Vol. 25, nr 4, s. 380-387, artikkel-id 10935266211059809Artikkel, forskningsoversikt (Fagfellevurdert) Published
Abstract [en]

Artificial Intelligence (AI) has become of increasing interest over the past decade. While digital image analysis (DIA) is already being used in radiology, it is still in its infancy in pathology. One of the reasons is that large-scale digitization of glass slides has only recently become available. With the advent of digital slide scanners, that digitize glass slides into whole slide images, many labs are now in a transition phase towards digital pathology. However, only few departments worldwide are currently fully digital. Digital pathology provides the ability to annotate large datasets and train computers to develop and validate robust algorithms, similar to radiology. In this opinionated overview, we will give a brief introduction into AI in pathology, discuss the potential positive and negative implications and speculate about the future role of AI in the field of pediatric pathology.

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SAGE PUBLICATIONS INC , 2022. Vol. 25, nr 4, s. 380-387, artikkel-id 10935266211059809
Emneord [en]
Artificial Intelligence; deep learning; digital pathology; pediatric pathology
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Identifikatorer
URN: urn:nbn:se:liu:diva-183756DOI: 10.1177/10935266211059809ISI: 000765360400001PubMedID: 35238696Scopus ID: 2-s2.0-8512581805OAI: oai:DiVA.org:liu-183756DiVA, id: diva2:1646852
Tilgjengelig fra: 2022-03-24 Laget: 2022-03-24 Sist oppdatert: 2025-02-18bibliografisk kontrollert

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