Digital pathology world tour-Reference-Cited by-同舟云学术

Digital pathology world tour

Published:2023-01 Issue: Volume:9 Page:
ISSN:2055-2076
Container-title:DIGITAL HEALTH
language:en
Short-container-title:DIGITAL HEALTH

Author:

Rizzo Paola Chiara¹,Caputo Alessandro²,Maddalena Eddy³,Caldonazzi Nicolò¹,Girolami Ilaria⁴⁵,Dei Tos Angelo Paolo⁶,Scarpa Aldo¹,Sbaraglia Marta⁶,Brunelli Matteo¹,Gobbo Stefano⁷,Marletta Stefano⁸⁹,Pantanowitz Liron¹⁰,Della Mea Vincenzo³,Eccher Albino¹¹^ORCID

Affiliation:

1. Department of Pathology and Diagnostics and Public Health, Section of Pathology, University Hospital of Verona, Verona, Italy

2. Department of Medicine and Surgery, University of Salerno, Fisciano, Italy

3. Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy

4. Department of Pathology, Provincial Hospital of Bolzano (SABES-ASDAA), Bolzano-Bozen, Italy

5. Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität, Bolzano, Italy

6. Surgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua, Padua, Italy

7. Department of Translational Medicine, University of Ferrara, Ferrara, Italy

8. Department of Pathology, Pederzoli Hospital, Peschiera del Garda, Verona, Italy

9. Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy

10. Department of Pathology, University of Michigan, Ann Arbor, MI, USA

11. Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy

Abstract

Objective Digital pathology (DP) is currently in the spotlight and is rapidly gaining ground, even though the history of this field spans decades. Despite great technological progress, the adoption of DP for routine clinical diagnostic use remains limited. Methods A systematic search was conducted in the electronic databases Pubmed-MEDLINE and Embase. Inclusion criteria were all published studies that encompassed any application of DP. Results Of 4888 articles retrieved, 4041 were included. Relevant articles were categorized as “diagnostic” (147/4041, 4%) where DP was utilized for routine diagnostic workflow and “non-diagnostic” (3894/4041, 96%) for all other applications. The “non-diagnostic” articles were further categorized according to DP application including “artificial intelligence” (33%), “education” (5%), “narrative” (17%) for reviews and editorials, and “technical” (45%) for pure research publications. Conclusion This manuscript provided temporal and geographical insight into the global adoption of DP by analyzing the published scientific literature.

Funder

Associazione Italiana per la Ricerca sul Cancro

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

Link

http://journals.sagepub.com/doi/pdf/10.1177/20552076231194551

Reference45 articles.

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