毒性病理学是临床前药物安全性评价的重要组成部分。随着计算机科学的发展和全切片数字扫描切片技术的发展，人工智能（AI）已经广泛应用于药物安全性评价领域，也包括病理学的各个方面，如诊断病理学、兽医诊断学、病理学研究、监管毒理学和病理学初级阅片及同行评议等。AI病理学平台的应用逐渐影响精准医学和个性化医学的未来发展。然而，与其他重要的科学技术进步一样，AI在毒性病理学领域的实施和应用也面临巨大的挑战。通过简要综述数字病理学的发展、算法类型、AI在毒性病理学中的应用概况、AI的监管环境等，以期为AI在毒性病理学中的研究发展及广泛应用提供新的思路。

Toxicologic pathology is an important part of preclinical safety evaluation of drugs. With the development of computer science and whole slide image scan technology, artificial intelligence (AI) has widely expanded into the field of safety evaluation of drugs, including all aspects of pathology, such as diagnostics pathology, veterinary diagnostics, pathological research, regulatory toxicology and pathology primary reads and peer review. The application of AI pathology platforms is now poised to truly impact the future of precision and personalized medicine. However, as with other critical technology advances, there are great challenges in the AI implementation and application of the toxicologic pathology. The development of digital pathology, the types of algorithms, the application of AI in toxicological pathology, and the regulatory environment of AI are briefly reviewed, so as to provide new ideas for the research, development and wide application of AI in toxicologic pathology.

中国食品药品检定研究院学科带头人课题项目（2021X2）