The requirements for performing artificial-intelligence-related research and model development

Anuj Pareek; Matthew P Lungren; Safwan S Halabi

doi:10.1007/s00247-022-05483-8

The requirements for performing artificial-intelligence-related research and model development

Anuj Pareek^*, Matthew P Lungren, Safwan S Halabi

^*Corresponding author for this work

5 Citations (Scopus)

Abstract

Artificial intelligence research in health care has undergone tremendous growth in the last several years thanks to the explosion of digital health care data and systems that can leverage large amounts of data to learn patterns that can be applied to clinical tasks. In addition, given broad acceleration in machine learning across industries like transportation, media and commerce, there has been a significant growth in demand for machine-learning practitioners such as engineers and data scientists, who have skill sets that can be applied to health care use cases but who simultaneously lack important health care domain expertise. The purpose of this paper is to discuss the requirements of building an artificial-intelligence research enterprise including the research team, technical software/hardware, and procurement and curation of health care data.

Original language	English
Journal	Pediatric Radiology
Volume	52
Issue number	11
Pages (from-to)	2094-2100
Number of pages	7
ISSN	0301-0449
DOIs	https://doi.org/10.1007/s00247-022-05483-8
Publication status	Published - Oct 2022
Externally published	Yes

Keywords

Algorithms
Artificial intelligence
Data science
Machine learning
Radiology
Research

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10.1007/s00247-022-05483-8

Cite this

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title = "The requirements for performing artificial-intelligence-related research and model development",

abstract = "Artificial intelligence research in health care has undergone tremendous growth in the last several years thanks to the explosion of digital health care data and systems that can leverage large amounts of data to learn patterns that can be applied to clinical tasks. In addition, given broad acceleration in machine learning across industries like transportation, media and commerce, there has been a significant growth in demand for machine-learning practitioners such as engineers and data scientists, who have skill sets that can be applied to health care use cases but who simultaneously lack important health care domain expertise. The purpose of this paper is to discuss the requirements of building an artificial-intelligence research enterprise including the research team, technical software/hardware, and procurement and curation of health care data.",

keywords = "Algorithms, Artificial intelligence, Data science, Machine learning, Radiology, Research",

author = "Anuj Pareek and Lungren, \{Matthew P\} and Halabi, \{Safwan S\}",

note = "{\textcopyright} 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.",

year = "2022",

month = oct,

doi = "10.1007/s00247-022-05483-8",

language = "English",

volume = "52",

pages = "2094--2100",

journal = "Pediatric Radiology",

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T1 - The requirements for performing artificial-intelligence-related research and model development

AU - Pareek, Anuj

AU - Lungren, Matthew P

AU - Halabi, Safwan S

PY - 2022/10

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N2 - Artificial intelligence research in health care has undergone tremendous growth in the last several years thanks to the explosion of digital health care data and systems that can leverage large amounts of data to learn patterns that can be applied to clinical tasks. In addition, given broad acceleration in machine learning across industries like transportation, media and commerce, there has been a significant growth in demand for machine-learning practitioners such as engineers and data scientists, who have skill sets that can be applied to health care use cases but who simultaneously lack important health care domain expertise. The purpose of this paper is to discuss the requirements of building an artificial-intelligence research enterprise including the research team, technical software/hardware, and procurement and curation of health care data.

AB - Artificial intelligence research in health care has undergone tremendous growth in the last several years thanks to the explosion of digital health care data and systems that can leverage large amounts of data to learn patterns that can be applied to clinical tasks. In addition, given broad acceleration in machine learning across industries like transportation, media and commerce, there has been a significant growth in demand for machine-learning practitioners such as engineers and data scientists, who have skill sets that can be applied to health care use cases but who simultaneously lack important health care domain expertise. The purpose of this paper is to discuss the requirements of building an artificial-intelligence research enterprise including the research team, technical software/hardware, and procurement and curation of health care data.

KW - Algorithms

KW - Artificial intelligence

KW - Data science

KW - Machine learning

KW - Radiology

KW - Research

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DO - 10.1007/s00247-022-05483-8

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VL - 52

SP - 2094

EP - 2100

JO - Pediatric Radiology

JF - Pediatric Radiology

IS - 11

ER -

The requirements for performing artificial-intelligence-related research and model development

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Keywords

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