Computer vision in healthcare represents a transformative technology that enhances various aspects of patient care and medical diagnostics. Leveraging algorithms and deep learning models, computer vision systems can analyze and interpret medical images such as X-rays, MRIs, and CT scans with remarkable accuracy and speed. This capability enables early detection of diseases, including cancer, by identifying abnormalities that may be invisible to the human eye. Beyond diagnostics, computer vision is used in surgical procedures, providing real-time imagery that assists surgeons in navigating complex operations with precision. Computer vision plays an important role in patient monitoring, analyzing visual data to detect changes in physical conditions or behaviors that may indicate health issues. By integrating computer vision into healthcare, medical professionals can offer more personalized, efficient, and effective treatments, ultimately improving patient outcomes and reducing the workload on healthcare providers.