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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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 languageEnglish (US)
Pages (from-to)2094-2100
Number of pages7
JournalPediatric radiology
Issue number11
StatePublished - Oct 2022


  • 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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