<b>Inteligência Artificial Em Imagens Médicas: Impactos E Desafios</b>

Abstract

This study aimed to understand the impacts and challenges of AI in medical imaging. A narrative literature review was carried out with the aim of analyzing the impacts and challenges of AI in medical imaging. The search involved articles published between 2013 and 2024, in Portuguese and English, focusing on the use of AI in medical imaging. The search was carried out in scientific databases such as PubMed and Scopus, using related keywords. AI has had a positive impact on medical imaging, especially in radiology, with deep learning algorithms improving accuracy in diagnosing diseases and injuries. However, its implementation faces challenges, such as the need for large volumes of data for training and the dependence on medical supervision for image interpretation. Integrating AI into clinical workflows requires continuous training and can create a risk of over-dependence. AI in medicine offers significant advances, especially in the diagnosis and analysis of medical images. However, its implementation faces challenges, such as high costs, the need for trained professionals and ethical and legal issues. Despite the obstacles, AI promises to transform medical practice, offering faster and more accurate diagnoses, and requiring more robust regulation for its safe use.

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