THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN MEDICAL DIAGNOSTICS

Authors

  • Sadulloeva Mashkhura Adizovna Author
  • Rakhmonova Mohinur Isroilovna Author

Keywords:

Keywords: Artificial Intelligence; Medical Diagnostics; Machine Learning; Diagnostic Imaging; Clinical Decision Support; Personalized Medicine; Healthcare Technology.

Abstract

Abstract 
Artificial  intelligence  (AI)  has  become  one  of  the  most  transformative 
technologies  in  modern  healthcare.  Its  integration  into  medical  diagnostics  has 
improved accuracy, speed, and accessibility of clinical decision-making. This paper 
reviews the current applications of AI in diagnostic imaging, early disease detection, 
clinical data analysis, and personalized medicine. Challenges and future perspectives 
of AI-based healthcare systems are also explored. 

References

1. Esteva, A., Topol, E. (2019). Deep learning for dermatology: A review. Nature

Medicine, 25(1), 44–55.

2. Rajpurkar, P., Irvin, J., Zhu, K., et al. (2017). CheXNet: Radiologist-level

pneumonia detection on chest X-rays with deep learning. arXiv preprint,

arXiv:1711.05225.

3. Topol, E. J. (2019). High-performance medicine: The convergence of human and

artificial intelligence. Nature Medicine, 25, 44–56.

4. Litjens, G., Kooi, T., Bejnordi, B. E., et al. (2017). A survey on deep learning in

medical image analysis. Medical Image Analysis, 42, 60–88.

5. Jiang, F., Jiang, Y., Zhi, H., et al. (2017). Artificial intelligence in healthcare: Past,

present and future. Stroke and Vascular Neurology, 2(4), 230–243.

Published

2025-12-01

How to Cite

Sadulloeva Mashkhura Adizovna, & Rakhmonova Mohinur Isroilovna. (2025). THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN MEDICAL DIAGNOSTICS . Ta’lim Innovatsiyasi Va Integratsiyasi, 58(1), 366-368. https://journalss.org/index.php/tal/article/view/7260