Evidence map›Paper›PMID 32737688›Full record

ArticleIrish journal of medical science2021

5G in healthcare: how fast will be the transformation?

Sathian Dananjayan, Gerard Marshall Raj

Abstract read
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In one paragraph

Article in Irish journal of medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  16. Advanced materials and technologies for oral diseases.Science and technology of advanced materials · 2023
    Review
  17. Article
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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

2 authors.

Sathian DananjayanSchool of Automation, Zhongkai University of Agriculture & Engineering, Guangzhou, China.ORCID https://orcid.org/0000-0002-6103-7267
Gerard Marshall RajDepartment of Pharmacology, Sri Venkateshwaraa Medical College Hospital and Research Centre (SVMCH & RC), Pondy-Villupuram Main Road, Ariyur, Puducherry, 605102, India. drgmr1111@gmail.com.ORCID http://orcid.org/0000-0001-7499-7219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 5G technology, with its low latency, high speed, enhanced high-resolution bandwidth, superior reliability, and less energy consumption, is bound to transform telemedicine and the healthcare industry as a whole. This next-generation wireless networking technology has many far-reaching implications in both preventive and therapeutic care of the patients. Remote monitoring of patients is possible with wearables facilitated by robust sensors coupled to 5G network. Virtual patient consultation; augmented reality (AR) and virtual reality (VR)-based simulated surgeries; artificial intelligence (AI)-powered robotic surgeries; real-time maintenance of ambulances and other medical devices; and dynamic huge data repository are some of the other applications of 5G technology in the health sector.

Indexed as

Health FacilitiesHumansInternetMonitoring, PhysiologicReproducibility of ResultsTelemedicine5GInternet of Medical ThingsTelehealthTelemedicineWearable medical devices

Identifiers

What OpenQuestion holds

Textmetadata
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.