Computed tomography (CT) scans are powerful tools for visualizing internal structures of the body. However, manually segmenting these images, a crucial step in analyzing and interpreting CT scans, can be time-consuming, prone to errors,

Enter the realm of artificial intelligence (AI) and its transformative impact on CT segmentation. AI algorithms, particularly deep learning models, have emerged as powerful tools for automatically segmenting anatomical structures in CT images with unprecedented accuracy and efficiency.

This has revolutionized medical imaging, enabling radiologists to analyze CT scans faster, more accurately, and with greater confidence, leading to improved patient care.

As AI continues to advance, its impact on CT segmentation will become increasingly profound, transforming the way radiologists interpret and utilize CT scans for improved patient care and advancing the field of medical imaging.