Medical imaging is an area where Artificial Intelligence in Healthcare has significant potential. Healthcare professionals use X-rays, CT scans, MRI images, ultrasound, and other imaging technologies to examine different aspects of the human body. Reviewing these images requires specialized training and careful attention. AI-powered systems can analyze certain medical images and identify patterns or regions that may deserve additional review. In appropriate settings, this can support radiologists and other specialists by helping organize and prioritize image-based information. AI can also assist with image classification and comparison in research and clinical workflows. However, AI systems must undergo appropriate testing and validation before being relied upon in medical environments. Their results may contain errors or may not apply equally to every patient or clinical situation. Therefore, qualified professionals remain responsible for interpreting imaging findings and determining appropriate medical action. Artificial Intelligence in Healthcare should be viewed as a supportive technology that can enhance professional capabilities rather than replace them. With proper oversight, AI-based imaging tools can contribute to efficient workflows and provide additional analytical support to medical teams.