Evidence map›Paper›PMID 35350452›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2022

[Feasibility of using artificial intelligence for screening COVID-19 patients in ParaguayViabilidade do uso de inteligência artificial na triagem de pacientes com COVID-19 no Paraguai].

Pedro Galván, José Fusillo, Felipe González, Oraldo Vukujevic, Luciano Recalde, Ronald Rivas, José Ortellado, Juan Portillo, Julio Borba, Enrique Hilario

Open access · diamondAbstract readEnglish Abstract
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Revista panamericana de salud publica = Pan American journal of public health · 2022
    Article
  2. Revista panamericana de salud publica = Pan American journal of public health · 2022
    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

10 authors at 2 institutions in 2 countries.

Pedro GalvánDepartamento de Ingeniería Biomédica e Imágenes Instituto de Investigaciones en Ciencias de la Salud Universidad Nacional de Asunción Paraguay Departamento de Ingeniería Biomédica e Imágenes, Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, Paraguay.
José FusilloMinisterio de Salud Pública y Bienestar Social Asunción Paraguay Ministerio de Salud Pública y Bienestar Social, Asunción, Paraguay.
Felipe GonzálezMinisterio de Salud Pública y Bienestar Social Asunción Paraguay Ministerio de Salud Pública y Bienestar Social, Asunción, Paraguay.
Oraldo VukujevicMinisterio de Salud Pública y Bienestar Social Asunción Paraguay Ministerio de Salud Pública y Bienestar Social, Asunción, Paraguay.
Luciano RecaldeDepartamento de Ingeniería Biomédica e Imágenes Instituto de Investigaciones en Ciencias de la Salud Universidad Nacional de Asunción Paraguay Departamento de Ingeniería Biomédica e Imágenes, Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, Paraguay.
Ronald RivasDepartamento de Ingeniería Biomédica e Imágenes Instituto de Investigaciones en Ciencias de la Salud Universidad Nacional de Asunción Paraguay Departamento de Ingeniería Biomédica e Imágenes, Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Asunción, Paraguay.
José OrtelladoMinisterio de Salud Pública y Bienestar Social Asunción Paraguay Ministerio de Salud Pública y Bienestar Social, Asunción, Paraguay.
Juan PortilloMinisterio de Salud Pública y Bienestar Social Asunción Paraguay Ministerio de Salud Pública y Bienestar Social, Asunción, Paraguay.
Julio BorbaMinisterio de Salud Pública y Bienestar Social Asunción Paraguay Ministerio de Salud Pública y Bienestar Social, Asunción, Paraguay.
Enrique HilarioFacultad de Medicina Universidad del País Vasco Bilbao España Facultad de Medicina, Universidad del País Vasco, Bilbao, España.
Ministerio de Salud Pública y Bienestar Social · PYUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Study the feasibility of using artificial intelligence as a sensitive and specific method for COVID-19 screening in patients with respiratory conditions, using chest CT scan images and a telemedicine platform. Methods: From March 2020 to June 2021, the authors conducted an observational descriptive multicenter feasibility study based on artificial intelligence (AI) for COVID-19 screening using chest images of patients with respiratory conditions who presented at public hospitals. The AI platform was used to diagnose chest CT scan images; this was then compared with molecular diagnosis (RT-PCR) to determine whether they matched and to analyze the feasibility of AI for screening patients with suspected COVID-19. A telemedicine platform was used to send images and diagnostic results. Results: Screening of 3 514 patients with a suspected COVID-19 diagnosis was performed in 14 hospitals around the country. Most patients were aged 27 to 59 years, followed by those over 60. The average age was 48.6 years; 52.8% were male. The most frequent findings were severe pneumonia, bilateral pneumonia with pleural effusion, bilateral pulmonary emphysema, and diffuse ground glass opacity, among others. There was an average of 93% matching and 7% mismatching between images analyzed by AI and RT-PCR. Sensitivity and specificity of the AI system, obtained by comparing AI and RT-PCR screening results, were 93% and 80% respectively. Conclusions: The use of sensitive and specific AI for stratified rapid detection of COVID-19 in patients with respiratory conditions by using chest CT scan images and a telemedicine platform in public hospitals in Paraguay is feasible.

Indexed as

artificial intelligenceCOVID-19digital technologyParaguayScreeningtelediagnosticstelemedicine

Identifiers

PMID35350452
PMCPMC8942285
OpenAlexW4221090109

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.