Schüffler Peter, Steiger Katja, Mogler Carolin
Institut für Pathologie, TUM School of Medicine and Health, Technische Universität München, München, Deutschland.
TUM School of Computation, Information and Technology, Technische Universität München, München, Deutschland.
Pathologie (Heidelb). 2024 May;45(3):198-202. doi: 10.1007/s00292-024-01314-9. Epub 2024 Mar 12.
Artificial intelligence promises many innovations and simplifications in pathology, but also raises just as many questions and uncertainties. In this article, we provide a brief overview of the current status, the goals already achieved by existing algorithms, and the remaining challenges.
人工智能有望在病理学领域带来诸多创新和简化,但同时也引发了同样多的问题和不确定性。在本文中,我们简要概述了当前的状况、现有算法已经实现的目标以及尚存的挑战。