THE IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN X-RAY IMAGES

Authors

  • Abrahmatova Asliya Azamatovna TDTU Faculty of Electronics and Automation Engineering X-ray technique and technology direction 1 - master's course

Keywords:

radiation, X-ray, radiology, radiology, artificial intelligence, computer tomography, magnetic resonance tomography scanners, ultrasound, tomography, image, radiation, invasive

Abstract

The use of artificial intelligence in X-ray images, the most widely used in radiology.  Advantages of artificial intelligence in working with images.

References

Artificial intelligence (AI) in medical imaging Tokhtakhojaeva F.Sh. Imanova L.N. Innovations in Science and Technologies, 1(3), 363-365.

Husni, A., Parmar, C., Quackenbush, J., Schwartz, L. H., & Aerts, H. J. W. L. (2018). Artificial intelligence in radiology. Nature Reviews Cancer, 18(8), 500-510.

Liu, H., Faes, L., Kal'aning, A. U., Wagner, S. K., Fu, D. J., Bruynseels, A.,... & Sahlsten, J. (2021). Comparing the performance of deep learning versus healthcare professionals in disease detection from medical images: a systematic review and meta-analysis. Lancet Digital Health, 3(6), e271-e297.

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Published

2025-01-07

How to Cite

Abrahmatova Asliya Azamatovna. (2025). THE IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN X-RAY IMAGES. Ethiopian International Multidisciplinary Research Conferences, 5–7. Retrieved from https://eijmr.org/conferences/index.php/eimrc/article/view/357

Issue

Ethiopian International Multidisciplinary Research Conferences

Section

Articles

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