Evidence map›Paper›PMID 28682265›Full record

ReviewIEEE reviews in biomedical engineering2017

Virtual Human Models for Electromagnetic Studies and Their Applications.

Sergey N Makarov, Gregory M Noetscher, Janakinadh Yanamadala, Matthew W Piazza, Sara Louie, Alexander Prokop, Ara Nazarian, Aapo Nummenmaa

Abstract readReview
In one paragraph

Review in IEEE reviews in biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
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  3. An Intra-Body Power Transfer System via Localized Capacitive Coupling.IEEE open journal of engineering in medicine and biology · 2026
    Article
  4. Article
  5. Automatic specific absorption rate (SAR) prediction for hyperthermia treatment planning using deep learning method.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Article
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  17. Whither Magnetic Hyperthermia? A Tentative Roadmap.Materials (Basel, Switzerland) · 2021
    Article
  18. Article
  19. 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

8 authors.

Sergey N Makarov
Gregory M Noetscher
Janakinadh Yanamadala
Matthew W Piazza
Sara Louie
Alexander Prokop
Ara Nazarian
Aapo Nummenmaa

Funding

Integrated multichannel system for transcranial magnetic stimulation and parallel magnetic resonance imagingR01MH111829 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI NUMMENMAA, AAPO · 2016 to 2019
$3.2M
Modeling TMS-induced Cortical Network ActivityR00EB015445 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI NUMMENMAA, AAPO · 2015 to 2017
$747k
Visible Human Project Full Body Finite-Element Phantom and WorkflowR43LM012352 · NLM · NEVA ELECTROMAGNETICS, LLC · PI MAKAROFF, SERGEY N · 2015 to 2015
$149k
NIBIB NIH HHS R00 EB015445NIMH NIH HHS R01 MH111829NLM NIH HHS R43 LM012352
6 · The paper itself

Abstract

Numerical simulation of electromagnetic, thermal, and mechanical responses of the human body to different stimuli in magnetic resonance imaging safety, antenna research, electromagnetic tomography, and electromagnetic stimulation is currently limited by the availability of anatomically adequate and numerically efficient cross-platform computational models or "virtual humans." The objective of this study is to provide a comprehensive review of modern human models and body region models available in the field and their important features.

Indexed as

Electromagnetic PhenomenaModels, AnatomicComputer-Aided DesignComputer SimulationFinite Element AnalysisHumansSoftware

Identifiers

PMID28682265
PMCPMC10502908

What OpenQuestion holds

Textmetadata
LicenceTDM
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.