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

Radiology

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

3 Scopus citations

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 (US)
Pages (from-to)	2094-2100
Number of pages	7
Journal	Pediatric radiology
Volume	52
Issue number	11
DOIs	https://doi.org/10.1007/s00247-022-05483-8
State	Published - Oct 2022

Keywords

Algorithms
Artificial intelligence
Data science
Machine learning
Radiology
Research

ASJC Scopus subject areas

Pediatrics, Perinatology, and Child Health
Radiology Nuclear Medicine and imaging

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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.",

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

Abstract

Keywords

ASJC Scopus subject areas

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