Evidence map›Paper›PMID 34457227›Full record

ArticleJournal of healthcare engineering2021

Application of Ultrasound Virtual Reality in the Diagnosis and Treatment of Cardiovascular Diseases.

Mingqiang Fan, Xiangxiang Yang, Tao Ding, Yu Cao, Qiaoke Si, Jing Bai, Yongchun Lin, Xinke Zhao

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Mingqiang FanCardiovascular Division, Pingliang People's Hospital, Pingliang 744000, Gansu, China.
Xiangxiang YangCardiovascular Division, Pingliang People's Hospital, Pingliang 744000, Gansu, China.
Tao DingCardiovascular Division, Pingliang People's Hospital, Pingliang 744000, Gansu, China.
Yu CaoCardiovascular Division, Pingliang People's Hospital, Pingliang 744000, Gansu, China.
Qiaoke SiCardiovascular Division, Pingliang People's Hospital, Pingliang 744000, Gansu, China.
Jing BaiCardiovascular Division, Pingliang People's Hospital, Pingliang 744000, Gansu, China.
Yongchun LinCardiovascular Division, Pingliang People's Hospital, Pingliang 744000, Gansu, China.
Xinke ZhaoCardiovascular Division, Affiliate Hospital of Gansu University of Traditional Chinese Medicine, Lanzhou 730020, Gansu, China.ORCID 0000-0001-9626-7313
Pingliang People's Hospital · CNGansu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease is a common chronic disease in the medical field, which has a great impact on the health of Chinese residents (especially the elderly). At present, the effectiveness of the prevention and treatment of cardiovascular diseases in my country is not optimistic. Overall, the prevalence and mortality of CVD are still on the rise. The timely and effective detection and treatment of cardiovascular and cerebrovascular diseases are of great practical significance to improve the health of residents and to carry out prevention and treatment. This article aims to study the application of ultrasound-based virtual reality technology in the diagnosis and treatment of cardiovascular diseases to improve the efficiency and accuracy of the diagnosis of cardiovascular and cerebrovascular diseases by medical staff. The focus is on the application of feature attribute selection related algorithms and classification related algorithms in medical and health diagnosis systems, and a cardiovascular and cerebrovascular disease diagnosis system based on naive Bayes algorithm and improved genetic algorithm is designed and developed. The system builds a diagnostic model for cardiovascular and cerebrovascular diseases and diagnoses and displays the corresponding results based on the patient's examination data. This paper first puts forward the theoretical concepts of ultrasonic virtual reality technology, scientific computing visualization, genetic algorithm, naive Bayes algorithm, and surgery simulation system and describes them in detail. Then, we construct a three-dimensional ultrasonic virtual measurement system, from the collection and reconstruction of image data to the filtering and segmentation of image data, plus the application of three-dimensional visualization and virtual reality technology to construct a three-dimensional measurement system. The experimental results in this paper show that 10 isolated congenital heart disease models with atrial septal defect (ASD) established through the use of three-dimensional visualization and virtual reality technology measured the short diameter, long diameter, and area of the atrial septal defect in the left and right atria. Finally, a value of

Indexed as

Cardiovascular DiseasesHeart Septal Defects, AtrialVirtual RealityAgedBayes TheoremHumansUltrasonography

Identifiers

PMID34457227
PMCPMC8387182
OpenAlexW3195986688

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.