Editorial: Explainable multimodal AI in cancer patient care: how can we reduce the gap between technology and practice?

被引：0

作者：

Rosen-Zvi, Michal ^{[1
,2
]}

Mullen, Lisa ^{[3
]}

Lukas, Robertus Jan ^{[4
]}

Guindy, Michal ^{[5
]}

Gabrani, Maria ^{[6
]}

机构：

[1] IBM Res Israel, Haifa, Israel

[2] Hebrew Univ Jerusalem, Fac Med, Jerusalem, Israel

[3] Johns Hopkins Univ, Johns Hopkins Med, Baltimore, MD USA

[4] Royal Brompton Hosp, Dept Histopathol, London, England

[5] Assuta Med Ctr, Imaging Serv, Tel Aviv, Israel

[6] IBM Res Zurich, Ruschlikon, Switzerland

来源：

FRONTIERS IN MEDICINE | 2023年 / 10卷

关键词：

computational medicine; oncology; multimodal data fusion; explainable AI; artificial intelligence (AI);

D O I：

10.3389/fmed.2023.1190429

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

引用

页数：3

共 20 条

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