Giovagnoli Maria Rosaria, Giansanti Daniele
Faculty of Medicine and Psychology, Sapienza University, Piazzale Aldo Moro, 00185 Roma, Italy.
Centre Tisp, Istituto Superiore di Sanità, 00161 Roma, Italy.
Healthcare (Basel). 2021 Jul 7;9(7):858. doi: 10.3390/healthcare9070858.
This commentary aims to address the field of (AI) in (DP) both in terms of the global situation and research perspectives. It has four polarities. , it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. , it illustrates the main fields in the employment of AI in DP. , it looks at the future directions of the research challenges from both a clinical and technological point of view. , it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement.
本评论旨在从全球形势和研究视角两方面探讨人工智能(AI)在数字病理学(DP)领域的应用。它有四个侧重点。其一,特别关注数字细胞学和数字组织学这两个领域,重新审视数字病理学的发展历程。其二,阐述人工智能在数字病理学应用中的主要领域。其三,从临床和技术角度审视研究挑战的未来方向。其四,讨论这些挑战、影响之间的横向问题,并介绍即将开展的实施工作。