The cultivation of supply side data science in medical imaging: an opportunity to define the future of global health.
The imaging field has more advanced data processing forefronts now, but this experience offers insight from one of our fields' first forays into data science translation, and it exemplifies the promise of data science: the concept of doing more with the data you have. As new landscapes of opportunit...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 49; no. 2; pp. 436 - 443 |
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| Autor principal: | |
| Formato: | editorial Journal Article |
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Springer Nature
Jan2022
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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=154982402&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154982402 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16197070 NPC jtl: European Journal of Nuclear Medicine & Molecular Imaging issn: 16197070 maglogo: N pubinfo: dt: Jan2022 vid: 49 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 154982402 153359755 154982402 154982402 10.1007/s00259-021-05555-1 154982402 ppf: 436 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The cultivation of supply side data science in medical imaging: an opportunity to define the future of global health. aug: au: Kesner, Adam affil: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, 1250 First Avenue, Room S-1119E (Box 84), 10065, New York, NY, USA sug: subj: Data Science Diagnostic Imaging Psychosocial Factors World Health Serial Publications Diffusion of Innovation Storytelling Nuclear Medicine ab: The imaging field has more advanced data processing forefronts now, but this experience offers insight from one of our fields' first forays into data science translation, and it exemplifies the promise of data science: the concept of doing more with the data you have. As new landscapes of opportunity for data-driven innovation open, we can lead by becoming stewards of imaging data, opening access to its highest fidelity embodiment, and promoting principles of accessibility and free market competition in the data use space. The imaging data-centric moonshot for global health may look like this: In 20 years, we will (a) expand access to imaging by a factor of 10, (b) witness > 100 startup companies utilizing raw medical image data come to fruition, and (c) deliver care to > 1 million nuclear medicine patients using AI networks trained with > 1 million data sets (d) throughout > 100 countries. pubtype: Academic Journal doctype: editorial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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