Evidence map›Paper›PMID 36798112›Full record

ArticleF1000Research2022

Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator.

Leidy Lorena Pulido Morales, Juan Sebastian Buitrago Romero, Ismael A Ardila Sanchez, Fernando Yepes-Calderon

Abstract read
In one paragraph

Article in F1000Research, 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Leidy Lorena Pulido MoralesFacultad Tecnológica, Universidad Distrital Francisco José de Caldas, Bogota, Bogota, Colombia.
Juan Sebastian Buitrago RomeroFacultad Tecnológica, Universidad Distrital Francisco José de Caldas, Bogota, Bogota, Colombia.
Ismael A Ardila SanchezFacultad Tecnológica, Universidad Distrital Francisco José de Caldas, Bogota, Bogota, Colombia.
Fernando Yepes-CalderonI+D+I, GYM Group SA, Cali, Valle del Cauca, Colombia.ORCID 0000-0001-9184-787X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent Coronavirus disease 2019 (COVID-19) pandemic displayed weaknesses in the healthcare infrastructures worldwide and exposed a lack of specialized personnel to cover the demands of a massive calamity. We have developed a portable ventilator that uses real-time vitals read from the patient to estimate -- through artificial intelligence -- the optimal operation point. The ventilator has redundant telecommunication capabilities; therefore, the remote assistance model can protect specialists and relatives from highly contagious agents. Additionally, we have designed a system that automatically publishes information in a proprietary cloud centralizer to keep physicians and relatives informed. The system was tested in a residential last-mile connection, and transaction times below the second were registered. The timing scheme allows us to operate up to 200 devices concurrently on these lowest-specification transmission control protocol/internet protocol (TCP/IP) services, promptly transmitting data for online processing and reporting. The ventilator is a proof of concept of automation that has behavioral and cognitive inputs to cheaply, yet reliably, extend the installed capacity of the healthcare systems and multiply the response of the skilled medical personnel to cover high-demanding scenarios and improve service quality.

Indexed as

COVID-19Internet of ThingsArtificial IntelligenceHumansIntensive Care UnitsSARS-CoV-2TechnologyVentilators, MechanicalArtificial intelligence in medicineArtificial Neuronal Networks in medicineAWS implementationsCovid 19 mitigationEvalu@ implementationsIntense care units everywheremechanical ventilatorsTechnology in healthcare

Identifiers

PMID36798112
PMCPMC9925877

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.