El rol del radiólogo con la implementación de la inteligencia artificial

Artificial intelligence has gained significant ground. It is currently applied in multiple branches and cannot be left out in the imaging sciences, where its implementation has rapidly established itself and is becoming a useful tool in healthcare, particularly in radiology, where it offers significant opportunities to improve diagnostic accuracy and workflow efficiency. Artificial intelligence is capable of recognizing patterns, processing data, and efficiently executing tasks. In various imaging tasks, it has revolutionized traditional practices by automating analyses and reducing subjectivity. While radiologists traditionally rely on experience and visual assessment to detect and monitor anomalies, this approach can be limited by variability, fatigue, and bias. Artificial intelligence effectively complements radiologists by providing objective and quantitative assessments, enabling early disease detection, lesion classification, and image segmentation with increased speed and accuracy. Despite its potential, current AI performance remains task-specific, requiring human oversight to ensure accuracy and reliability, especially in ambiguous cases. Challenges such as algorithm bias, ethical considerations, and regulatory hurdles need to be addressed to ensure generalizability, transparency, and patient trust. Radiologists play a critical role in validating AI tools and promoting their responsible implementation, ensuring they improve clinical workflows without compromising the essential human connection in healthcare.