Artificial Intelligence in Digital Pathology: What Is the Future? Part 2: An Investigation on the Insiders

Motivation: This study deals with the introduction of artificial intelligence (AI) in digital pathology (DP). The study starts from the highlights of a companion paper. Objective: The aim was to investigate the consensus and acceptance of the insiders on this issue. Procedure: An electronic survey b...

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Bibliographic Details
Published in:Healthcare (Basel) 2021-10, Vol.9 (10), p.1347
Main Authors: Giovagnoli, Maria Rosaria, Ciucciarelli, Sara, Castrichella, Livia, Giansanti, Daniele
Format: Article
Language:English
Subjects:
Artificial intelligence
Cellular biology
Cybersecurity
Data integrity
digital-pathology
e-health
Electronic health records
Genomics
Investigations
Laboratories
Likert scale
m-health
medical devices
Medical diagnosis
Pathology
picture archive and communication system
Polls & surveys
Professionals
Proteomics
Questionnaires
Social networks
Software
Telemedicine
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Summary:Motivation: This study deals with the introduction of artificial intelligence (AI) in digital pathology (DP). The study starts from the highlights of a companion paper. Objective: The aim was to investigate the consensus and acceptance of the insiders on this issue. Procedure: An electronic survey based on the standardized package Microsoft Forms (Microsoft, Redmond, WA, USA) was proposed to a sample of biomedical laboratory technicians (149 admitted in the study, 76 males, 73 females, mean age 44.2 years). Results: The survey showed no criticality. It highlighted (a) the good perception of the basic training on both groups, and (b) a uniformly low perceived knowledge of AI (as arisen from the graded questions). Expectations, perceived general impact, perceived changes in the work-flow, and worries clearly emerged in the study. Conclusions: The of AI in DP is an unstoppable process, as well as the increase of the digitalization in the health domain. Stakeholders must not look with suspicion towards AI, which can represent an important resource, but should invest in monitoring and consensus training initiatives based also on electronic surveys.
ISSN:2227-9032
2227-9032
DOI:10.3390/healthcare9101347