Giovagnoli Maria Rosaria, Ciucciarelli Sara, Castrichella Livia, Giansanti Daniele
Facoltà di Medicina e Psicologia, Università Sapienza Roma, Piazzale Aldo Moro, 00185 Rome, Italy.
Centre Tisp, Istituto Superiore di Sanità, 00161 Rome, Italy.
Healthcare (Basel). 2021 Oct 11;9(10):1347. doi: 10.3390/healthcare9101347.
This study deals with the introduction of artificial intelligence (AI) in digital pathology (DP). The study starts from the highlights of a companion paper. The aim was to investigate the consensus and acceptance of the insiders on this issue. 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). 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 , and worries clearly emerged in the study. The of AI in DP is an unstoppable process, as well as the increase of the digitalization in the . 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.
本研究探讨了人工智能（AI）在数字病理学（DP）中的应用。该研究始于一篇配套论文的要点。目的是调查业内人士对这一问题的共识和接受程度。我们向一组生物医学实验室技术人员（149人参与研究，76名男性，73名女性，平均年龄44.2岁）发放了基于标准化软件包Microsoft Forms（微软，美国华盛顿州雷德蒙德）的电子调查问卷。调查未发现关键问题。结果表明：（a）两组人员对基础培训的评价良好；（b）对人工智能的认知水平普遍较低（从分级问题中得出）。研究中明确出现了期望、感知到的总体影响、感知到的变化以及担忧。人工智能在数字病理学中的应用是一个不可阻挡的过程，就像数字病理学中数字化程度的提高一样。利益相关者不应怀疑人工智能，它可以成为一项重要资源，而应投资于基于电子调查的监测和共识培训计划。
