ARTIFICIAL INTELLIGENCE IN CLINICAL MEDICINE: CURRENT APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS

Authors

  • Zarnigor Alieva Fergana Medical Institute of Public Health
  • Gulchekhra Egamberdieva Fergana Medical Institute of Public Health

Keywords:

artificial intelligence, machine learning, clinical decision support, digital health, precision medicine, medical ethics

Abstract

Artificial intelligence (AI) has rapidly transitioned from a theoretical concept to a practical tool in modern clinical medicine. Advances in machine learning, deep neural networks, and data integration have enabled AI-driven systems to support diagnosis, risk stratification, treatment planning, and healthcare delivery optimization. This narrative review synthesizes current clinical applications of AI across major medical domains, evaluates its limitations and ethical considerations, and discusses future trajectories for safe and effective integration into routine practice. Emphasis is placed on translational relevance, clinician–AI collaboration, and the importance of regulatory and educational frameworks to ensure patient-centered outcomes.

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Published

2026-01-09

How to Cite

Alieva, Z., & Egamberdieva , G. (2026). ARTIFICIAL INTELLIGENCE IN CLINICAL MEDICINE: CURRENT APPLICATIONS, CHALLENGES, AND FUTURE DIRECTIONS. Journal of Clinical and Biomedical Research, 1(1), 46–50. Retrieved from https://medjournal.it.com/index.php/jcbr/article/view/9

Issue

Vol. 1 No. 1 (2026): Inaugural Issue

Section

Articles