Large language models for oncological applications

Vera Sorin; Yiftach Barash; Eli Konen; Eyal Klang

doi:10.1007/s00432-023-04824-w

Large language models for oncological applications

Vera Sorin, Yiftach Barash, Eli Konen, Eyal Klang

Research output: Contribution to journal › Letter › peer-review

28 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	9505-9508
Number of pages	4
Journal	Journal of Cancer Research and Clinical Oncology
Volume	149
Issue number	11
DOIs	https://doi.org/10.1007/s00432-023-04824-w
State	Published - Sep 2023
Externally published	Yes

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title = "Large language models for oncological applications",

abstract = "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.",

author = "Vera Sorin and Yiftach Barash and Eli Konen and Eyal Klang",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.",

year = "2023",

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doi = "10.1007/s00432-023-04824-w",

language = "English",

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T1 - Large language models for oncological applications

AU - Sorin, Vera

AU - Barash, Yiftach

AU - Konen, Eli

AU - Klang, Eyal

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N2 - 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.

AB - 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.

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U2 - 10.1007/s00432-023-04824-w

DO - 10.1007/s00432-023-04824-w

M3 - Letter

C2 - 37160626

AN - SCOPUS:85159013220

SN - 0171-5216

VL - 149

SP - 9505

EP - 9508

JO - Journal of Cancer Research and Clinical Oncology

JF - Journal of Cancer Research and Clinical Oncology

IS - 11

ER -

Large language models for oncological applications

Abstract

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