Integration of artificial intelligence in lung cancer: Rise of the machine

被引：49

作者：

Ladbury, Colton ^{[1
]}

Amini, Arya ^{[1
]}

Govindarajan, Ameish ^{[2
]}

Mambetsariev, Isa ^{[2
]}

Raz, Dan J. ^{[3
]}

Massarelli, Erminia ^{[2
]}

Williams, Terence ^{[1
]}

Rodin, Andrei ^{[4
]}

Salgia, Ravi ^{[2
]}

机构：

[1] City Hope Natl Med Ctr, Natl Med Ctr, Dept Radiat Oncol, 1500 E Duarte Rd, Duarte, CA 91010 USA

[2] City Hope Natl Med Ctr, Dept Med Oncol, Natl Med Ctr, Duarte, CA USA

[3] City Hope Natl Med Ctr, Natl Med Ctr, Dept Surg, Duarte, CA USA

[4] City Hope Natl Med Ctr, Dept Computat & Quantitat Med, Natl Med Ctr, Duarte, CA USA

来源：

CELL REPORTS MEDICINE | 2023年 / 4卷 / 02期

基金：

美国国家卫生研究院;

关键词：

NETWORK METAANALYSIS; NEURAL-NETWORKS; PREDICTION; RADIOTHERAPY; RESECTION; TRIAL; RADIOMICS; CT;

D O I：

10.1016/j.xcrm.2023.100933

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

The goal of oncology is to provide the longest possible survival outcomes with the therapeutics that are currently available without sacrificing patients' quality of life. In lung cancer, several data points over a pa-tient's diagnostic and treatment course are relevant to optimizing outcomes in the form of precision medi-cine, and artificial intelligence (AI) provides the opportunity to use available data from molecular information to radiomics, in combination with patient and tumor characteristics, to help clinicians provide individualized care. In doing so, AI can help create models to identify cancer early in diagnosis and deliver tailored therapy on the basis of available information, both at the time of diagnosis and in real time as they are undergoing treatment. The purpose of this review is to summarize the current literature in AI specific to lung cancer and how it applies to the multidisciplinary team taking care of these complex patients.

引用

页数：11

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