Jurmeister Philipp, Müller Klaus-Robert, Klauschen Frederick
Pathologisches Institut, Ludwig-Maximilians-Universität München, Thalkirchner Str. 36, 80337, München, Deutschland.
Institut für Pathologie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland.
Pathologe. 2022 May;43(3):218-221. doi: 10.1007/s00292-022-01071-7. Epub 2022 Apr 11.
Given the rapid developments, there is no doubt that artificial intelligence (AI) will substantially impact pathological diagnostics. However, it remains an open question if AI will primarily be another diagnostic tool, such as immunohistochemistry, or if AI will also be able to replace human expertise. Most current studies on AI in histopathology deal with relatively simple diagnostic problems and are not yet capable of coping with the complexity of routine diagnostics. While some methods in molecular pathology would already be unthinkable without AI, it remains to be shown how AI will also be able to help with difficult histomorphological differential diagnoses in the future.
鉴于快速发展的态势，毫无疑问人工智能（AI）将对病理诊断产生重大影响。然而，人工智能究竟主要会成为另一种诊断工具，比如免疫组织化学，还是也能够取代人类专业知识，这仍是一个悬而未决的问题。目前大多数关于人工智能在组织病理学方面的研究都针对相对简单的诊断问题，尚无法应对常规诊断的复杂性。虽然分子病理学中的一些方法如果没有人工智能将难以想象，但人工智能未来如何帮助解决困难的组织形态学鉴别诊断仍有待证明。
