毒性病理學(xué)是臨床前藥物安全性評(píng)價(jià)的重要組成部分。隨著計(jì)算機(jī)科學(xué)的發(fā)展和全切片數(shù)字掃描切片技術(shù)的發(fā)展，人工智能（AI）已經(jīng)廣泛應(yīng)用于藥物安全性評(píng)價(jià)領(lǐng)域，也包括病理學(xué)的各個(gè)方面，如診斷病理學(xué)、獸醫(yī)診斷學(xué)、病理學(xué)研究、監(jiān)管毒理學(xué)和病理學(xué)初級(jí)閱片及同行評(píng)議等。AI病理學(xué)平臺(tái)的應(yīng)用逐漸影響精準(zhǔn)醫(yī)學(xué)和個(gè)性化醫(yī)學(xué)的未來發(fā)展。然而，與其他重要的科學(xué)技術(shù)進(jìn)步一樣，AI在毒性病理學(xué)領(lǐng)域的實(shí)施和應(yīng)用也面臨巨大的挑戰(zhàn)。通過簡(jiǎn)要綜述數(shù)字病理學(xué)的發(fā)展、算法類型、AI在毒性病理學(xué)中的應(yīng)用概況、AI的監(jiān)管環(huán)境等，以期為AI在毒性病理學(xué)中的研究發(fā)展及廣泛應(yīng)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.

中國(guó)食品藥品檢定研究院學(xué)科帶頭人課題項(xiàng)目（2021X2）