Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started?
Artificial intelligence (AI) represents a broad category of algorithms for which deep learning is currently the most impactful. When electing to begin the process of building an adequate fundamental knowledge base allowing them to decipher machine learning research and algorithms, clinical musculosk...
| Publicado en: | Skeletal Radiology Vol. 51; no. 2; pp. 271 - 279 |
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| Autores principales: | , |
| Formato: | review Journal Article |
| Publicado: |
Springer Nature
Feb2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154247784&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154247784 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03642348 O14 jtl: Skeletal Radiology issn: 03642348 maglogo: N pubinfo: dt: Feb2022 vid: 51 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 154247784 154247784 NLM34191083 154247784 10.1007/s00256-021-03850-4 NLM34191083 154247784 ppf: 271 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started? aug: au: Mutasa, Simukayi Yi, Paul H. affil: The Center of Artificial Intelligence in Medical Imaging, Division of Musculoskeletal Imaging, The University of California At Irvine, 101 The City Dr S, 92868, Orange, CA, USA sug: subj: Specialties, Medical Artificial Intelligence Algorithms Clinical Assessment Tools Scales ab: Artificial intelligence (AI) represents a broad category of algorithms for which deep learning is currently the most impactful. When electing to begin the process of building an adequate fundamental knowledge base allowing them to decipher machine learning research and algorithms, clinical musculoskeletal radiologists currently have few options to turn to. In this article, we provide an introduction to the vital terminology to understand, how to make sense of data splits and regularization, an introduction to the statistical analyses used in AI research, a primer on what deep learning can or cannot do, and a brief overview of clinical integration methods. Our goal is to improve the readers' understanding of this field. pubtype: Academic Journal doctype: review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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