Evidence map›Paper›PMID 37702288›Full record

ReviewClinical and translational science2023

Opportunities and challenges of 5G network technology toward precision medicine.

Chia Chao Kang, Tze Yan Lee, Wai Feng Lim, Wendy Wai Yeng Yeo

Abstract readReview
In one paragraph

Review in Clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Chia Chao KangSchool of Electrical Engineering and Artificial Intelligence, Xiamen University Malaysia, Sepang, Selangor, Malaysia.ORCID 0000-0002-8716-3739
Tze Yan LeeSchool of Liberal Arts, Science and Technology (PUScLST), Perdana University, Kuala Lumpur, Malaysia.ORCID 0000-0002-9780-5248
Wai Feng LimSunway Medical Centre, Subang Jaya, Selangor Darul Ehsan, Malaysia.ORCID 0000-0002-8495-4551
Wendy Wai Yeng YeoSchool of Pharmacy, Monash University Malaysia, Bandar Sunway, Selangor Darul Ehsan, Malaysia.ORCID 0000-0001-5028-9293

Funding

Malaysian Ministry of Higher Education FRGS/1/2022/TK08/XMU/02/10Xiamen University Malaysia XMUMRF/2021-C7/IECE/0018Xiamen University Malaysia XMUMRF/2023-C12/IECE/004
6 · The paper itself

Abstract

Moving away from traditional "one-size-fits-all" treatment to precision-based medicine has tremendously improved disease prognosis, accuracy of diagnosis, disease progression prediction, and targeted-treatment. The current cutting-edge of 5G network technology is enabling a growing trend in precision medicine to extend its utility and value to the smart healthcare system. The 5G network technology will bring together big data, artificial intelligence, and machine learning to provide essential levels of connectivity to enable a new health ecosystem toward precision medicine. In the 5G-enabled health ecosystem, its applications involve predictive and preventative measurements which enable advances in patient personalization. This review aims to discuss the opportunities, challenges, and prospects posed to 5G network technology in moving forward to deliver personalized treatments and patient-centric care via a precision medicine approach.

Indexed as

Artificial IntelligencePrecision MedicineHumansMachine LearningTechnology

Identifiers

PMID37702288
PMCPMC10651640

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.