The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

The attention and resources of AI researchers have been captured by COVID-19. However, successful adoption of AI models in the fight against the pandemic is facing various challenges, including moving clinical needs as the epidemic progresses and the necessity to translate models to local healthcare...

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Veröffentlicht in:Nature machine intelligence 2020-06, Vol.2 (6), p.298-300
Hauptverfasser: Hu, Yipeng, Jacob, Joseph, Parker, Geoffrey J. M., Hawkes, David J., Hurst, John R., Stoyanov, Danail
Format: Artikel
Sprache:eng
Schlagworte:
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Accuracy
Adaptation
Artificial intelligence
Comment
Coronaviruses
COVID-19
Disease transmission
Engineering
Epidemics
Health services
Intensive care
Medical research
Pandemics
Severe acute respiratory syndrome
Severe acute respiratory syndrome coronavirus 2
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Beschreibung
Zusammenfassung:The attention and resources of AI researchers have been captured by COVID-19. However, successful adoption of AI models in the fight against the pandemic is facing various challenges, including moving clinical needs as the epidemic progresses and the necessity to translate models to local healthcare situations.
ISSN:2522-5839
2522-5839
DOI:10.1038/s42256-020-0185-2