This article provides a scientific analysis of new models of collaboration between artificial intelligence (AI) and healthcare professionals. The study reviews literature, clinical cases, and international experiences to assess the benefits and limitations of AI applications. The results indicate that AI improves diagnostic accuracy up to 85-95%, reduces physicians' workload by 30-40%, and enhances patient safety. The discussion highlights ethical challenges, technical barriers, and future perspectives. In conclusion, the principle of "human expertise + machine accuracy" is emphasized as the core paradigm of modern medicine.

Artificial intelligence, medicine, collaboration models, diagnostics, telemedicine, clinical decision-making, patient safety, healthcare, personalized medicine.

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