Genomisk medicin og kunstig intelligens

Translated title of the contribution: Genomic medicine and artificial intelligence

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

In this review, we discuss the management of genomic medicine, which is based on very large data sets with up to billions of data points when analysing the whole genome. By using artificial intelligence (AI) it is possible to find patterns in such data sets and thereby identify subgroups of patients differing clinically, or to extract informative data points and construct models, which will predict disease risk, prognosis or treatment response most often in a process including training and testing (machine learning). Future clinical decision making will increasingly be based on patterns and models obtained by AI analysis of many parameters.

Original languageDanish
Article numberV02190085
JournalUgeskrift for Laeger
Volume181
Issue number7A
ISSN0041-5782
Publication statusPublished - 1. Apr 2019

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Medicine
Datasets
Clinical Decision-Making

Cite this

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title = "Genomisk medicin og kunstig intelligens",
abstract = "In this review, we discuss the management of genomic medicine, which is based on very large data sets with up to billions of data points when analysing the whole genome. By using artificial intelligence (AI) it is possible to find patterns in such data sets and thereby identify subgroups of patients differing clinically, or to extract informative data points and construct models, which will predict disease risk, prognosis or treatment response most often in a process including training and testing (machine learning). Future clinical decision making will increasingly be based on patterns and models obtained by AI analysis of many parameters.",
author = "Kruse, {Torben A} and Larsen, {Martin Jakob} and Qihua Tan and Lars Andersen and Mads Thomassen",
year = "2019",
month = "4",
day = "1",
language = "Dansk",
volume = "181",
journal = "Ugeskrift for Laeger",
issn = "0041-5782",
publisher = "Almindelige Danske Laegeforening",
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}

Genomisk medicin og kunstig intelligens. / Kruse, Torben A; Larsen, Martin Jakob; Tan, Qihua; Andersen, Lars; Thomassen, Mads.

In: Ugeskrift for Laeger, Vol. 181, No. 7A, V02190085, 01.04.2019.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Genomisk medicin og kunstig intelligens

AU - Kruse, Torben A

AU - Larsen, Martin Jakob

AU - Tan, Qihua

AU - Andersen, Lars

AU - Thomassen, Mads

PY - 2019/4/1

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N2 - In this review, we discuss the management of genomic medicine, which is based on very large data sets with up to billions of data points when analysing the whole genome. By using artificial intelligence (AI) it is possible to find patterns in such data sets and thereby identify subgroups of patients differing clinically, or to extract informative data points and construct models, which will predict disease risk, prognosis or treatment response most often in a process including training and testing (machine learning). Future clinical decision making will increasingly be based on patterns and models obtained by AI analysis of many parameters.

AB - In this review, we discuss the management of genomic medicine, which is based on very large data sets with up to billions of data points when analysing the whole genome. By using artificial intelligence (AI) it is possible to find patterns in such data sets and thereby identify subgroups of patients differing clinically, or to extract informative data points and construct models, which will predict disease risk, prognosis or treatment response most often in a process including training and testing (machine learning). Future clinical decision making will increasingly be based on patterns and models obtained by AI analysis of many parameters.

M3 - Tidsskriftartikel

C2 - 30950381

VL - 181

JO - Ugeskrift for Laeger

JF - Ugeskrift for Laeger

SN - 0041-5782

IS - 7A

M1 - V02190085

ER -