STAGES OF USING ARTIFICIAL INTELLIGENCE IN ULTRASOUND TECHNOLOGY IN MEDICINE

Authors

  • Mirzakulova Gulbahor Abdusodiq qizi Kokand Universiteti Andijon filiali
  • Yodgorbek Ismoiljonov Komiljon o‘g‘li Kokand Universiteti Andijon filiali

Keywords:

Ultrasound diagnostics, artificial intelligence, medical image processing, automated diagnostics, neural networks, ultrasound imaging, medical diagnostics, automation.

Abstract

This article examines the stages of using artificial intelligence (AI) in
ultrasound technology in medicine. AI plays a crucial role in processing images, automating tasks,
and improving diagnostic accuracy in ultrasound examinations. The article provides detailed
information on how AI enhances the precision and efficiency of ultrasound diagnostics, as well as
its practical applications. The use of AI technology in the medical field is rapidly advancing.

References

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.

Litjens, G., et al. (2017). A survey on deep learning in medical image analysis. Medical Image Analysis, 42, 60-88.

Esteva, A., et al. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.

Advances in AI and Ultrasound Diagnostics. Journal of Medical Imaging and Health Informatics, 2023.

Schmidhuber, J. (2015). Deep learning in neural networks: An overview. Neural Networks, 61, 85-117.

Çallı, E., et al. (2021). Deep learning for classification of COVID-19 in chest CT using AI-driven self-supervised contrastive learning. Medical Image Analysis, 72, 102-121.

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Published

2025-06-16

How to Cite

STAGES OF USING ARTIFICIAL INTELLIGENCE IN ULTRASOUND TECHNOLOGY IN MEDICINE. (2025). Universal International Scientific Journal, 2(4.5), 599-600. https://universaljurnal.uz/index.php/jurnal/article/view/2524