ELIZA

return kwic search for findings out of >500 occurrences
299123 occurrences (No.77 in the rank) during 5 years in the PubMed. [no cache] 500 found

353) These findings can support policymakers, clinicians, and other stakeholders in prioritizing research and development to support operationalization of AI for future pandemics.

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PMID:34112939 DOI:10.1038/s41746-021-00459-8

2021 NPJ digital medicine

* Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases.

- Artificial intelligence (AI) represents a valuable tool that could be widely used to inform clinical and public health decision-making to effectively manage the impacts of a pandemic. The objective of this scoping review was to identify the key use cases for involving AI for pandemic preparedness and response from the peer-reviewed, preprint, and grey literature. The data synthesis had two parts: an in-depth review of studies that leveraged machine learning (ML) techniques and a limited review of studies that applied traditional modeling approaches. ML applications from the in-depth review were categorized into use cases related to public health and clinical practice, and narratively synthesized. One hundred eighty-three articles met the inclusion criteria for the in-depth review. Six key use cases were identified: forecasting infectious disease dynamics and effects of interventions; surveillance and outbreak detection; real-time monitoring of adherence to public health recommendations; real-time detection of influenza-like illness; triage and timely diagnosis of infections; and prognosis of illness and response to treatment. Data sources and types of ML that were useful varied by use case. The search identified 1167 articles that reported on traditional modeling approaches, which highlighted additional areas where ML could be leveraged for improving the accuracy of estimations or projections. Important ML-based solutions have been developed in response to pandemics, and particularly for COVID-19 but few were optimized for practical application early in the pandemic. These findings can support policymakers, clinicians, and other stakeholders in prioritizing research and development to support operationalization of AI for future pandemics.

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[frequency of next (right) word to findings]

(1)49 suggest	(13)9 support	(25)4 that	(37)2 encourage
(2)40 from	(14)9 will	(26)4 to	(38)2 illuminate
(3)36 of	(15)6 include	(27)4 we	(39)2 it
(4)33 null	(16)6 reveal	(28)3 also	(40)2 may
(5)25 were	(17)6 revealed	(29)3 further	(41)2 open
(6)24 and	(18)5 for	(30)3 presented	(42)2 suggested
(7)21 indicate	(19)5 regarding	(31)3 related	(43)2 the
(8)18 provide	(20)5 showed	(32)3 reported	(44)2 through
(9)17 are	(21)4 can	(33)3 with	(45)2 uncover
(10)15 in	(22)4 demonstrate	(34)2 by	(46)2 underline
(11)11 highlight	(23)4 have	(35)2 confirm
(12)9 on	(24)4 show	(36)2 emphasize

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--- WordNet output for findings --- =>研究(調査)結果 Overview of noun findings The noun findings has 1 sense (no senses from tagged texts) 1. findings -- (a collection of tools and other articles used by an artisan to make jewelry or clothing or shoes) Overview of noun finding The noun finding has 3 senses (first 3 from tagged texts) 1. (16) determination, finding -- (the act of determining the properties of something, usually by research or calculation; "the determination of molecular structures") 2. (3) finding -- (the decision of a court on issues of fact or law) 3. (1) finding -- (something that is found; "the findings in the gastrointestinal tract indicate that he died several hours after dinner"; "an area rich in archaeological findings") --- WordNet end ---