Artificial Intelligence in Medicine

Today in Medmultilingua

Computed tomography (CT) is undergoing its most profound transformation since its inception in the 1970s. The integration of artificial intelligence (AI) into next-generation equipment has redefined the speed, quality, and accuracy of medical diagnosis. Today, the world’s leading manufacturers are competing to develop systems capable of reconstructing images in real time, reducing radiation dose to minimal levels, and automating entire workflows within radiology departments.

This progress is not incremental: it is structural. AI is transforming CT scans into a faster, safer, and smarter tool, with a direct impact on emergency medicine, oncology, neurology, and cardiology, among other specialties. [Read more]

From its earliest conceptual roots in the mid‑20th century, artificial intelligence emerged from the ambition to build machines capable of reasoning, learning, and adapting. Early pioneers explored symbolic logic and simple computational models, laying the groundwork for systems that could mimic fragments of human cognition. As research expanded, AI evolved from rule‑based programs into powerful learning architectures capable of processing vast datasets and uncovering complex patterns. This steady progression transformed AI from a theoretical curiosity into a driving force of scientific and technological innovation, reshaping fields such as medicine, biology, and global health with unprecedented speed and impact

Dr. Marco Benavides

Medicine & Surgery