Researchers at Shenzhen University have developed an artificial intelligence (AI) system capable of generating high-quality breast ultrasound reports that approach the diagnostic level of radiologists. This AI model has also been shown to assist junior radiologists in improving the diagnosis of BI-RADS categories, which are used to assess breast cancer risk. In parallel, AI technology has demonstrated the ability to identify early prostate cancer in over 80% of biopsy samples previously deemed healthy by pathologists, detecting subtle tissue changes invisible to the human eye, according to studies involving Uppsala University. Additionally, the AIM-NT model from Shenzhen University has shown high accuracy in real-time identification and measurement of the nuchal translucency plane during prenatal ultrasound assessments, facilitating workflow integration. Other AI applications in medical imaging include state-of-the-art breast cancer detection using MRI at the City University of New York and hybrid machine learning models for brain tumor segmentation and detection. These advancements highlight the growing role of AI in enhancing diagnostic accuracy and efficiency in medical imaging across multiple cancer types and prenatal care.