The requirements for performing artificial-intelligence-related research and model development.
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 accelera...
| Published in: | Pediatric Radiology Vol. 52; no. 11; pp. 2094 - 2101 |
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| Main Authors: | , , |
| Format: | review Journal Article |
| Published: |
Springer Nature
Oct2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159531183&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159531183 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03010449 O03 jtl: Pediatric Radiology issn: 03010449 maglogo: N pubinfo: dt: Oct2022 vid: 52 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 159531183 158650533 159531183 NLM35996023 159531183 10.1007/s00247-022-05483-8 NLM35996023 159531183 ppf: 2094 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The requirements for performing artificial-intelligence-related research and model development. aug: au: Pareek, Anuj Lungren, Matthew P. Halabi, Safwan S. affil: Stanford AIMI Center, Stanford University, 1701 Page Mill Road, 94304, Palo Alto, CA, USA sug: subj: Algorithms Artificial Intelligence Software Intelligence Scales 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. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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