ARTIFICIAL INTELLIGENCE IN MEDICINE: NEW OPPORTUNITIES IN DIAGNOSIS AND TREATMENT

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  • Qahramonov Davron Dilshod o‘g‘li ##default.groups.name.author##

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Keywords: artificial intelligence, medicine, diagnosis, treatment, neural networks, clinical decision support

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The development of artificial intelligence (AI) technologies in modern medicine is creating new opportunities in diagnostic and treatment processes. AI algorithms are playing an important role in early disease detection, clinical decision support, and the development of individualized treatment plans. This article analyzes the importance of artificial intelligence in medicine, its main applications in diagnosis and treatment, as well as existing challenges and future prospects

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1. Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.

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

3. Rajpurkar, P., Irvin, J., et al. (2018). "Deep learning for chest radiograph diagnosis: A retrospective comparison with radiologists." The Lancet, 394(10197), 807-815.

4. McKinsey & Company (2021). The Future of AI in Healthcare: Opportunities and Challenges.

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2025-07-08

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##issue.vol## 41 ##issue.no## 1 (2025): World scientific research journal|WSRJ|Volume-41|Issue-1

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Articles

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Qahramonov Davron Dilshod o‘g‘li. (2025). ARTIFICIAL INTELLIGENCE IN MEDICINE: NEW OPPORTUNITIES IN DIAGNOSIS AND TREATMENT. World Scientific Research Journal, 41(1), 64-66. https://scientific-jl.com/wsrj/article/view/24442