日本制药企业协会非临床评价专家委员会人工智能病理工作组报告:人工智能病理问卷调查及全幻灯片影像数据库的利用

IF 0.9 4区 医学 Q4 PATHOLOGY
Journal of Toxicologic Pathology Pub Date : 2025-07-01 Epub Date: 2025-03-11 DOI:10.1293/tox.2024-0099
Masaki Yamazaki, Emi Tomikawa, Miyoko Okada, Satoru Kajikawa, Yui Terayama, Shino Kumabe, Tetsuya Sakairi, Akira Inomata, Izumi Matsumoto, Gen Sato, Mutsumi Suzuki
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引用次数: 0

摘要

近年来,随着人工智能(AI)技术的发展,各种公司和组织开始引入和使用基于人工智能的组织病理学评估(AI pathology)。日本制药制造商协会(JPMA)药品评价委员会内非临床评价专家委员会的人工智能病理学工作组认识到了解日本人工智能病理学当前使用和需求的重要性。这包括它在非临床研究领域的作用,如毒性评价、药物疗效评价和基础研究。此外,评估与病理图像数据库相关的需求和挑战是必不可少的。2023年10月至11月,我们与日本毒物病理学学会(JSTP)合作,对jpma下属机构和JSTP下属机构的非临床病理图像数据库进行问卷调查,探讨这些问题。问卷调查包括三个项目:(1)全幻灯片图像的实施和利用;(2)人工智能病理学在非临床研究领域的应用;(3)在非临床病理学领域建立竞争前病理图像数据库(库)和人工智能病理学的需求和可行性。本报告总结了调查结果,并为指导日本在非临床研究中使用AI病理学的未来方向奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Report of the AI Pathology Task Force, Non-clinical Evaluation Expert Committee, Japan Pharmaceutical Manufacturers Association: questionnaire survey on AI pathology and utilization of whole slide image database.

In recent years, the development of Artificial Intelligence (AI) technology has led to the introduction and use of AI-based histopathological evaluation (AI pathology) by various companies and organizations. The AI Pathology Task Force of the Non-clinical Evaluation Expert Committee within the Drug Evaluation Committee of the Japan Pharmaceutical Manufacturers Association (JPMA) recognizes the importance of understanding the current use and needs surrounding AI pathology in Japan. This includes its role in non-clinical research fields, such as toxicity evaluation, drug efficacy evaluation, and basic research. In addition, assessing needs and challenges related to pathology image databases is essential. Between October and November 2023, with the cooperation of the Japanese Society of Toxicologic Pathology (JSTP), we conducted a questionnaire survey on non-clinical pathology image databases to explore these issues among JPMA-affiliated and JSTP-affiliated organizations. The questionnaire survey consisted of three items: (1) implementation and utilization of whole slide images, (2) use of AI pathology in non-clinical research fields, and (3) needs and feasibility of establishing a precompetitive pathology image database (repository) and AI pathology in the non-clinical pathology field. This report summarizes the survey results and serves as a foundation for guiding future directions in the use of AI pathology in non-clinical studies in Japan.

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来源期刊
Journal of Toxicologic Pathology
Journal of Toxicologic Pathology PATHOLOGY-TOXICOLOGY
CiteScore
2.10
自引率
16.70%
发文量
22
审稿时长
>12 weeks
期刊介绍: JTP is a scientific journal that publishes original studies in the field of toxicological pathology and in a wide variety of other related fields. The main scope of the journal is listed below. Administrative Opinions of Policymakers and Regulatory Agencies Adverse Events Carcinogenesis Data of A Predominantly Negative Nature Drug-Induced Hematologic Toxicity Embryological Pathology High Throughput Pathology Historical Data of Experimental Animals Immunohistochemical Analysis Molecular Pathology Nomenclature of Lesions Non-mammal Toxicity Study Result or Lesion Induced by Chemicals of Which Names Hidden on Account of the Authors Technology and Methodology Related to Toxicological Pathology Tumor Pathology; Neoplasia and Hyperplasia Ultrastructural Analysis Use of Animal Models.
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