An overview of meta-analysis in the field of cardiovascular imaging using artificial intelligence - Pubrica

1. AN OVERVIEW OF META- ANALYSIS IN THE FIELD OF CARDIOVASCULAR IMAGING USINGARTIFICIAL INTELLIGENCE An Academic presentationby Dr.NancyAgens,Head,TechnicalOperations,Pubrica Group: www.pubrica.com Email:sales@pubrica.com

2. Today'sDiscussion Outline InBrief Introduction Ameta-analysisofcardiovascularimaging FutureScopes Conclusion

3. InBrief The most plausible human endeavour happens in the healthcare sector, has the greatest impact onartificial intelligence. Artificial intelligence possesses superhuman performance in diagnosis, treatments, clinical testings,etc. AI will completely change the era of medicine by doctors, mainly in cardiology and radiology. Pubrica is conductinga meta-analysisin quantitative research about cardiovascular imaging to help future medical researchers anddoctors.

4. Introduction As years passing with growing technology,cardiac diagnostics have potential growthsimultaneously. A huge population starts accepting imagingtechniques for diagnosis and monitoring treatment in healthcare sectors that are faster and can be easilyaffordable. The interpretation of imaging is more accuratefor satisfying patients. Writinga meta-analysisabout cardiovascularimaging will be useful for futurestudies. Contd..

5. Though cardiology has implanted many numbers of cases using AI, it is growing recently in the field of medicine. This blog brings out the diagnostic tools of cardiology using artificial intelligence.

6. Meta-analysisof cardiovascular imaging 1.Echocardiography 2. Computedtomography CardiacMRI Nuclearimaging Futureaspects Contd..

7. 1.Echocardiography Echocardiography, as the name, suggests it willdiagnose by ultrasounds. The main uses of echocardiographyare, Ultrasounds areportable More standardizedanalysis The precise interpretation ofdata Speed Can be easilyaffordable Contd..

8. However, it is a user-dependenttool. AI has stepped to different echo cardiographic imagingchain. It has automated identification of left ventricles by having algorithms forcongenital disorders anddiseases. Some of the other important diagnosis is phenotypic heart failure andhypertrophic cardiomyopathy. In general, it will lead to new hypotheses and perform a better diagnosisand prognosis in different cardiacdiseases. Contd..

9. 2.Computer Tomography Computer tomography in cardiovascularimaging hasshown growth over the past 10years. Some advantages of cardiac CTare, Reducesnoise Better imagequality No need for invasive coronary angiography fordiagnosing stenosis Themeta-analysis expertssay that the cardiac CT worked by using an artificial neural network model whichdetermine the level of calcium from coronary CTangiography. Contd..

10. Another application of Cardiac CT is to processimages. The visualization of images can be achieved by the machine learningprocess. Unlike echocardiography,Cardiac CTis user-independent andfast. The major significance is to reduce radiation exposure to the patients and helpsto create personalizedmedicine. Contd..

11. 3.CardiacMRI Imaging the heart from various parameters is done bycardiac Magnetic resonanceimaging Functions: Flowimaging Perfusion imaging Anatomical imaging Myocardial characterizations Contractions Contd..

12. TheAI significancecan be performed only by radiographers that have experience in physics and cardiac anatomy as they are an integral part of imageanalysis. However, the quality of the image is both user and vendor dependent. The main objectives of cardiacMRI Automated segmentation of heartstructure Infarct tissueanalysis. Contd..

13. The studies carried out by Cardiac MRIare Component analysis in pulmonary hypertension forpatients Worsening of left ventricular function for patients with a repairedtetralogy ofFallot Due to these major disadvantages, MRI has become more challenging in imaging thanothers. Researchers are performing with various ideas to overcome thosechallenges. Contd..

14. 4.Nuclearimaging Nuclear i maging in cardiologyis used to determine the faults in the myocardiumwall. Methods: Myocardial perfusion single-photonemission computed tomography(SPECT) Positron emissiontomography(PET) Contd..

15. A.SPECT It detects the gamma rays emitted by the radioactive tracer toreconstruct thetissue. SPECT is used to diagnose the abnormal myocardium and it isinterpreted using Artificial neural networkmodels. The accuracy of data was boosted by machinelearning. It alsodetects Stress Stress-inducedischaemia Restdefects Contd..

16. B.PET PET detects the two concurrent opposite annihilationphotos. Both spect and PET are similartoCT andMRI. Disadvantages It leads toradiation exposure inhumans Contd..

17. Future Scopes There will be a huge opportunity for AI implementation infuture research from machine learningsources. Biomarkers Genomics Proteomics Metabolomics This can improve the healthcare standard and quality inthe treatment ofpatients. The future researchers can work on the challenges ofthe imaging techniques usingmeta-analysis writingservices.

18. Conclusion The cardiovascular imaging has shown remarkable growth over the past few years. It not only gives structural data but also physiological and molecular features of the heart. AI set up a huge platform to healthcare from past to present and even infuture. Pubrica establishedameta analysisofartificial intelligence in cardiovascularimaging.

19. ContactUs UNITEDKINGDOM +44-1143520021 INDIA +91-9884350006 EMAIL sales@pubrica.com