Evidence map›Paper›PMID 35804610›Full record

ArticleAnimals : an open access journal from MDPI2022

The Future of Artificial Intelligence in Monitoring Animal Identification, Health, and Behaviour.

Jenna V Congdon, Mina Hosseini, Ezekiel F Gading, Mahdi Masousi, Maria Franke, Suzanne E MacDonald

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jenna V CongdonDepartment of Psychology, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada.ORCID 0000-0003-3833-0593
Mina HosseiniDepartment of Psychology, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada.
Ezekiel F GadingDepartment of Psychology, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada.
Mahdi MasousiEAIGLE, Markham, ON L3R 9Z7, Canada.
Maria FrankeToronto Zoo, Toronto, ON M1B 5K7, Canada.
Suzanne E MacDonaldDepartment of Psychology, Faculty of Health, York University, Toronto, ON M3J 1P3, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With many advancements, technologies are now capable of recording non-human animals' location, heart rate, and movement, often using a device that is physically attached to the monitored animals. However, to our knowledge, there is currently no technology that is able to do this unobtrusively and non-invasively. Here, we review the history of technology for use with animals, recent technological advancements, current limitations, and a brief introduction to our proposed novel software. Canadian tech mogul EAIGLE Inc. has developed an artificial intelligence (AI) software solution capable of determining where people and assets are within public places or attractions for operational intelligence, security, and health and safety applications. The solution also monitors individual temperatures to reduce the potential spread of COVID-19. This technology has been adapted for use at the Toronto Zoo, initiated with a focus on Sumatran orangutans (

Indexed as

animal behaviouranimal healthartificial intelligenceconservationidentificationmonitoringorangutanPongo abelii

Identifiers

PMID35804610
PMCPMC9265132

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.