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Emerging Technologies Serving Cytopathology: Big Data, the Cloud, and Mobile Computing

Emerging Technologies Serving Cytopathology: Big Data, the Cloud, and Mobile Computing
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Author(s): Abraham Pouliakis (National and Kapodistrian University of Athens, Greece), Niki Margari (National and Kapodistrian University of Athens, Greece), Effrosyni Karakitsou (National and Kapodistrian University of Athens, Greece), Stavros Archondakis (401 Military Hospital, Greece)and Petros Karakitsos (National and Kapodistrian University of Athens, Greece)
Copyright: 2021
Pages: 30
Source title: Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-5339-8.ch085

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Abstract

Cytopathology became a popular since George Papanicolaou proposed the famous test Pap 60 years ago. Today cytopathology laboratories use the microscope as primary diagnostic device; however modern laboratories host numerous modalities for molecular tests and exchange data via networks; additionally, there are imaging systems producing pictures and virtual slides at enormous sizes and volume. The latest technological developments for cloud computing, big data and mobile devices has changed the way enterprises, institutions and people use computerized systems. In this chapter are explored potential applications of these technologies in the cytopathology laboratory including: data storage, laboratory information systems, population screening programs, quality control and assurance, education and proficiency testing, e-learning, tele-consultation, primary diagnosis and research. The impact of their adoption on the daily workflow is highlighted, possible shortcomings especially for security and privacy issues are identified and future research directions are presented.

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