Штучний інтелект у медичній діагностиці: технологічні переваги та клінічні обмеження

Abstract

The rapid growth of medical data requires advanced analytical methods to support clinical decision-making. Artificial intelligence (AI) improves the speed and accuracy of medical diagnostics. This paper reviews key AI methods used in healthcare, including machine learning, deep neural networks, and natural language processing. Their applications in medical image analysis, disease risk prediction, and clinical documentation automation are discussed. The advantages of AI systems and their limitations, such as data quality and algorithm transparency, are also highlighted. The study shows that AI has strong potential to improve diagnostics and healthcare efficiency while remaining a supportive tool for medical professionals.