Evidence map›Paper›PMID 35492508›Full record

ArticleIEEE journal of translational engineering in health and medicine2022

A Computer Vision Approach to Identifying Ticks Related to Lyme Disease.

Sina Akbarian, Mark P Nelder, Curtis B Russell, Tania Cawston, Laurent Moreno, Samir N Patel, Vanessa G Allen, Elham Dolatabadi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  5. Identifying disease vector images in the Americas in the age of artificial intelligence.Revista da Sociedade Brasileira de Medicina Tropical · 2025
    Review
  6. Article
  7. Article
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

8 authors at 4 institutions in 2 countries.

Sina AkbarianPublic Health Ontario Toronto ON M5G 1M1 Canada.ORCID 0000-0002-0024-3999
Mark P NelderEnteric, Zoonotic and Vector-Borne Diseases, Health Protection, Operations and ResponsePublic Health Ontario Toronto ON M5G 1M1 Canada.
Curtis B RussellEnteric, Zoonotic and Vector-Borne Diseases, Health Protection, Operations and ResponsePublic Health Ontario Toronto ON M5G 1M1 Canada.
Tania CawstonPublic Health LaboratoriesPublic Health Ontario Sault Ste. Marie ON P6B 0A9 Canada.
Laurent MorenoInnovations and Partnerships OfficeUniversity of Toronto Toronto ON M5S 1A1 Canada.
Samir N PatelDepartment of Laboratory Medicine and PathobiologyUniversity of Toronto Toronto ON M5S 1A1 Canada.
Vanessa G AllenDepartment of Laboratory Medicine and PathobiologyUniversity of Toronto Toronto ON M5S 1A1 Canada.
Elham DolatabadiVector Institute for Artificial Intelligence Toronto ON M5G 1M1 Canada.
University of Toronto · CAVector & Vector-Borne Diseases Research Institute · TZGroup Health Centre · CAToronto Public Health · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Borrelia burgdorferiIxodesLyme DiseaseTick-Borne DiseasesAnimalsComputersHumansComputer visionconvolution neural networkinfectious diseaseIxodes scapularisknowledge transferLyme diseasepublic healthsurveillancevector-borne disease

Identifiers

PMID35492508
PMCPMC9037821
OpenAlexW4206768996

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.