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AI in Healthcare: From Application to Rapid Evolution

Published January 4, 2026, 05:07
AI in Healthcare: From Application to Rapid Evolution

2025 marks a significant transition in the healthcare sector, as numerous technological and scientific advancements mature and are integrated into the daily operations of healthcare systems. Artificial intelligence (AI) has entered a regulatory framework and is recognized as a safety factor, while prevention is gaining new dimensions with blood tests for early disease detection. The fight against cancer is moving towards personalized treatments based on the genetic profile of the tumor. Simultaneously, healthcare is increasingly being transferred to the home through portable devices and digital applications, giving citizens a more active role in monitoring their health. Innovation is transforming the core of medical practice, but also poses challenges regarding safety, equal access, and patient trust. AI is already being used in medical imaging and big data management, helping to detect abnormalities and speed up diagnosis. 2025 marks the assumption of responsibility for the use of AI in healthcare, as the possibility of error has direct consequences for patient care. The key question is how to accelerate innovation while maintaining safety and equal access.