THE ROLE AND PROSPECTS OF ARTIFICIAL INTELLIGENCE IN MODERN MEDICINE

Authors

  • Adkhamov Murodjon Yorkinjon ugli Author

Keywords:

Kеywоrds: Artificial intelligence; machine learning; clinical decision-making; predictive analytics; digital health; medical imaging; personalized medicine.

Abstract

Abstract. Artificial Intelligence (AI) has become a transformative force in modern medicine, offering new solutions for diagnosis, treatment planning, patient monitoring, and healthcare system optimization. This article explores the current applications of AI in clinical practice, its technological foundations, and the ethical, legal, and infrastructural challenges associated with its implementation. Drawing on real-world examples from radiology, pathology, surgery, and personalized medicine, the study evaluates AI's potential to enhance accuracy, reduce workload, and improve outcomes. Future prospects include AI-integrated decision support systems, robotic-assisted interventions, and predictive analytics based on big data and genomics. As AI continues to evolve, it is reshaping the role of the physician and necessitating a new paradigm of human-machine collaboration in healthcare delivery.

References

1. Topol E.J. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. – New York: Basic Books, 2019. – 384 p.

URL: https://www.hachettebookgroup.com/title s/eric-topol/deep-medicine/9781541644632/

2. Jiang F., Jiang Y., Zhi H., Dong Y., Li H., Ma S., Wang Y., Dong Q., Shen H., Wang Y. Artificial intelligence in healthcare: past, present and future // Stroke and Vascular Neurology. – 2017. – Vol. 2, No. 4. – P. 230–243.

URL: https://svn.bmj.com/content/2/4/230

3. Esteva A., Robicquet A., Ramsundar B. et al. A guide to deep learning in healthcare // Nature Medicine. – 2019. – Vol. 25. – P. 24–29.

URL: https://www.nature.com/articles/s41591-018-0316-z

4. Rajpurkar P., Irvin J., Ball R.L. et al. Deep Learning for Chest Radiograph Diagnosis: A Retrospective Comparison of the CheXNeXt Algorithm to Practicing Radiologists // PLOS Medicine. – 2018. – Vol. 15, No. 11. – P. 1–17.

URL: https://doi.org/10.1371/journal.pmed.1002686

5. Yu K.H., Beam A.L., Kohane I.S. Artificial intelligence in healthcare // Nature Biomedical Engineering. – 2018. – Vol. 2. – P. 719–731.

URL: https://www.nature.com/articles/s41551-018-0305-z

6. Obermeyer Z., Emanuel E.J. Predicting the Future — Big Data, Machine Learning, and Clinical Medicine // New England Journal of Medicine. – 2016. – Vol. 375, No. 13. – P. 1216–1219.

Published

2025-08-05

How to Cite

Adkhamov Murodjon Yorkinjon ugli. (2025). THE ROLE AND PROSPECTS OF ARTIFICIAL INTELLIGENCE IN MODERN MEDICINE. PEDAGOGS, 87(1), 20-24. https://scientific-jl.com/ped/article/view/25792