欧洲毒理学病理学学会关于在毒理学病理学中使用人工智能的调查结果。

IF 1.4 4区 医学 Q3 PATHOLOGY
Xavier Palazzi, Erio Barale-Thomas, Bhupinder Bawa, Jonathan Carter, Kyathanahalli Janardhan, Heike Marxfeld, Abraham Nyska, Chandrassegar Saravanan, Dirk Schaudien, Vanessa L Schumacher, Robert H Spaet, Simone Tangermann, Oliver C Turner, Enrico Vezzali
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引用次数: 0

摘要

欧洲毒理学病理学学会(ESTP)与欧洲和北美的姐妹专业学会合作,通过其病理学2.0工作流启动了一项调查,以生成人工智能在毒理学病理学领域使用的快照。除了人口统计信息外,一些一般性问题探讨了人工智能与以下方面的关系:(1)各组织采用人工智能的现状;(2) 技术和方法方面;(3) 感知商业价值,最后;以及(4)障碍和前景。人工智能在毒理学病理学中的地位越来越高,尽管存在一些不确定性,但大多数病理学家都支持其发展。一个显著的特征是应答者对人工智能的认识和采用的可变性,因为这一范围从对人工智能有熟悉和技术技能的病理学家扩展到对人工智能作为毒理学病理学工具不感兴趣的同事。尽管人们普遍对这些技术充满热情,但对人工智能算法的总体理解和信任以及它们在毒理学病理学中的附加值普遍较低,这表明需要提高认识和教育。这项调查将作为评估人工智能在该领域渗透和接受程度演变的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Results of the European Society of Toxicologic Pathology Survey on the Use of Artificial Intelligence in Toxicologic Pathology.

The European Society of Toxicologic Pathology (ESTP) initiated a survey through its Pathology 2.0 workstream in partnership with sister professional societies in Europe and North America to generate a snapshot of artificial intelligence (AI) usage in the field of toxicologic pathology. In addition to demographic information, some general questions explored AI relative to (1) the current status of adoption across organizations; (2) technical and methodological aspects; (3) perceived business value and finally; and (4) roadblocks and perspectives. AI has become increasingly established in toxicologic pathology with most pathologists being supportive of its development despite some areas of uncertainty. A salient feature consisted of the variability of AI awareness and adoption among the responders, as the spectrum extended from pathologists having developed familiarity and technical skills in AI, to colleagues who had no interest in AI as a tool in toxicologic pathology. Despite a general enthusiasm for these techniques, the overall understanding and trust in AI algorithms as well as their added value in toxicologic pathology were generally low, suggesting room for the need for increased awareness and education. This survey will serve as a basis to evaluate the evolution of AI penetration and acceptance in this domain.

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来源期刊
Toxicologic Pathology
Toxicologic Pathology 医学-病理学
CiteScore
4.70
自引率
20.00%
发文量
57
审稿时长
6-12 weeks
期刊介绍: Toxicologic Pathology is dedicated to the promotion of human, animal, and environmental health through the dissemination of knowledge, techniques, and guidelines to enhance the understanding and practice of toxicologic pathology. Toxicologic Pathology, the official journal of the Society of Toxicologic Pathology, will publish Original Research Articles, Symposium Articles, Review Articles, Meeting Reports, New Techniques, and Position Papers that are relevant to toxicologic pathology.
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