Artificial intelligence: a solution for the lack of pathologists?

被引：0

作者：

Jurmeister, Philipp ^{[1
,2
]}

Mueller, Klaus-Robert ^{[5
,6
]}

Klauschen, Frederick ^{[1
,2
,3
,4
,6
]}

机构：

[1] Ludwig Maximilians Univ Munchen, Pathol Inst, Thalkirchner Str 36, D-80337 Munich, Germany

[2] Charite Univ Med Berlin, Inst Pathol, Berlin, Germany

[3] Deutsch Konsortium Translat Krebsforsch DKTK, Partnerstandort Munchen, Munich, Germany

[4] Deutsch Krebsforschungszentrum DKFZ, Munich, Germany

[5] Tech Univ Berlin, Berlin, Germany

[6] Berlin Inst Fdn Learning & Data BIFOLD, Berlin, Germany

来源：

PATHOLOGIE | 2022年 / 43卷 / 03期

关键词：

Artificial intelligence; Digital pathology; Immunohistochemistry; Molecular pathology; Machine Learning;

D O I：

暂无

中图分类号：

R36 [病理学];

学科分类号：

100104 ;

摘要：

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.

引用

页码：218 / 221

页数：4

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