Evidence map›Paper›PMID 37687891›Full record

ReviewSensors (Basel, Switzerland)2023

Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions.

Manar Osama, Abdelhamied A Ateya, Mohammed S Sayed, Mohamed Hammad, Paweł Pławiak, Ahmed A Abd El-Latif, Rania A Elsayed

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Pediatrics 4.0: the Transformative Impacts of the Latest Industrial Revolution on Pediatrics.Health care analysis : HCA : journal of health philosophy and policy · 2025
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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

7 authors.

Manar OsamaDepartment of Electronics and Communications Engineering, Zagazig University, Zagazig 44519, Egypt.
Abdelhamied A AteyaEIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia.ORCID 0000-0002-1610-9612
Mohammed S SayedDepartment of Electronics and Communication Engineering, Egypt-Japan University of Science and Technology, Alexandria 21934, Egypt.ORCID 0000-0002-5514-6790
Mohamed HammadEIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia.ORCID 0000-0002-6506-3083
Paweł PławiakDepartment of Computer Science, Faculty of Computer Science and Telecommunications, Cracow University of Technology, Warszawska 24, 31-155 Krakow, Poland.ORCID 0000-0002-4317-2801
Ahmed A Abd El-LatifEIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia.
Rania A ElsayedDepartment of Electronics and Communications Engineering, Zagazig University, Zagazig 44519, Egypt.ORCID 0000-0002-2380-3071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It provides approaches to achieving precision medicine that delivers healthcare services based on the patient's characteristics. Moreover, Healthcare 4.0 enables telemedicine, including telesurgery, early predictions, and diagnosis of diseases. This represents an important paradigm for modern societies, especially with the current situation of pandemics. The release of the fifth-generation cellular system (5G), the current advances in wearable device manufacturing, and the recent technologies, e.g., artificial intelligence (AI), edge computing, and the Internet of Things (IoT), are the main drivers of evolutions of Healthcare 4.0 systems. To this end, this work considers introducing recent advances, trends, and requirements of the Internet of Medical Things (IoMT) and Healthcare 4.0 systems. The ultimate requirements of such networks in the era of 5G and next-generation networks are discussed. Moreover, the design challenges and current research directions of these networks. The key enabling technologies of such systems, including AI and distributed edge computing, are discussed.

Indexed as

Internet of ThingsTelemedicineArtificial IntelligenceBiological EvolutionHumansInternet5Gartificial intelligencedistributed edge computinge-healthHealthcare 4.0Internet of Medical Things

Identifiers

PMID37687891
PMCPMC10490658

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.