Evidence map›Paper›PMID 38710744›Full record

ArticleScientific reports2024

Consumer electronics based smart technologies for enhanced terahertz healthcare having an integration of split learning with medical imaging.

Sambit Satpathy, Osamah Ibrahim Khalaf, Dhirendra Kumar Shukla, Sameer Algburi, Habib Hamam

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

5 authors.

Sambit SatpathyCSE, Galgotias College of Engineering and Technology, Greater Noida, Uttar Pradesh, India. sambitmails@gmail.com.
Osamah Ibrahim KhalafDepartment of Solar, Al-Nahrain Research Center for Renewable Energy, Al-Nahrain University, Jadriya, Baghdad, Iraq. usama81818@nahrainuniv.edu.iq.
Dhirendra Kumar ShuklaCSE, Galgotias University, Greater Noida, Uttar Pradesh, India.
Sameer AlgburiAl-Kitab University, 36015, Kirkuk, Iraq.
Habib HamamUni de Moncton, Moncton, NB, 1EA 3E9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The proposed work contains three major contribution, such as smart data collection, optimized training algorithm and integrating Bayesian approach with split learning to make privacy of the patent data. By integrating consumer electronics device such as wearable devices, and the Internet of Things (IoT) taking THz image, perform EM algorithm as training, used newly proposed slit learning method the technology promises enhanced imaging depth and improved tissue contrast, thereby enabling early and accurate disease detection the breast cancer disease. In our hybrid algorithm, the breast cancer model achieves an accuracy of 97.5 percent over 100 epochs, surpassing the less accurate old models which required a higher number of epochs, such as 165.

Indexed as

AlgorithmsBreast NeoplasmsWearable Electronic DevicesBayes TheoremDiagnostic ImagingFemaleHumansImage Processing, Computer-AssistedInternet of ThingsMachine LearningTerahertz ImagingConsumer electronics (CE)Medical imagingSmart healthcare systemSplit learningTerahertz technology

Identifiers

PMID38710744
PMCPMC11074303

What OpenQuestion holds

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Registered trials

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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.