The impact of Artificial Intelligence on medicine: Applications, challenges and perspectives

Abstract

Artificial Intelligence (AI) has emerged as a powerful tool in several areas of Medicine, including radiology, pathology, genomics and personalized medicine, providing significant advances in the efficiency and precision of medical care. This study aims to carry out a narrative review of the literature, exploring the potential of AI in clinical practice, both in its current applications and future perspectives. AI is capable of analyzing medical images, interpreting laboratory tests, processing genetic data and predicting disease risks, facilitating a more personalized and preventive approach to Medicine. However, the implementation of AI in the medical field faces important challenges, such as ethical, regulatory and data security issues, which require close collaboration between healthcare professionals, data scientists and regulators to ensure its ethical and effective use. Therefore, the need for continuous research that evaluates and promotes the responsible application of these emerging technologies in the health field is highlighted.

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