Large language models for oncological applications

被引：34

作者：

Sorin, Vera ^{[1
,2
,4
]}

Barash, Yiftach ^{[1
,2
,4
]}

Konen, Eli ^{[1
,4
]}

Klang, Eyal ^{[1
,2
,3
,4
]}

机构：

[1] Chaim Sheba Med Ctr, Dept Diagnost Imaging, Ramat Gan, Israel

[2] Chaim Sheba Med Ctr, DeepVis Lab, Ramat Gan, Israel

[3] Chaim Sheba Med Ctr, Sami Sagol AI Hub, ARC, Ramat Gan, Israel

[4] Tel Aviv Univ, Sackler Sch Med, Tel Aviv, Israel

来源：

JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY | 2023年 / 149卷 / 11期

关键词：

D O I：

10.1007/s00432-023-04824-w

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Large language models such as ChatGPT have gained public and scientific attention. These models may support oncologists in their work. Oncologists should be familiar with large language models to harness their potential while being aware of potential dangers and limitations.

引用

页码：9505 / 9508

页数：4

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