This article analyzes the importance and relevance of artificial intelligence technologies in the diagnosis of anatomical diseases in modern medicine. The study examines the potential of artificial intelligence algorithms in analyzing medical images, detecting diseases at early stages, and improving the accuracy of diagnostic procedures. Particular attention is given to the use of artificial intelligence in the analysis of medical imaging methods such as computed tomography, magnetic resonance imaging, and X-ray diagnostics. The results of the study indicate that artificial intelligence technologies significantly support physicians in diagnostic decision-making, accelerate diagnostic processes, and reduce the probability of medical errors.

artificial intelligence, medical diagnostics, anatomical diseases, medical imaging, computed tomography, magnetic resonance imaging, medical information technologies.

Geoffrey Hinton. Deep Learning in Medical Imaging.

Yoshua Bengio. Neural Networks and Deep Learning.

World Health Organization. Digital Health and Artificial Intelligence in Medicine.

Topol E. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again.

Recent publications on artificial intelligence in medical diagnostics.

Textbooks on medical informatics and digital healthcare technologies.

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