Core Insights - RadNet, Inc. has completed the acquisition of See-Mode Technologies, enhancing its capabilities in AI for ultrasound imaging, particularly for thyroid and breast applications [1][5] - The integration of See-Mode's technology is expected to improve diagnostic accuracy and clinical workflows, with standardized reporting for ultrasound imaging [1][5] - The acquisition positions RadNet as a leader in AI innovation within the ultrasound sector, aiming to expand efficiencies across various clinical areas [5][10] Company Overview - RadNet is a leading provider of diagnostic imaging services in the U.S., operating over 401 outpatient imaging centers and employing more than 11,000 staff [9] - DeepHealth, a subsidiary of RadNet, focuses on AI-powered health informatics to enhance imaging care and operational efficiency [10] - See-Mode specializes in AI solutions for ultrasound imaging, with regulatory approvals in multiple countries, including the U.S., Canada, and Australia [12] Market Context - Thyroid cancer is one of the fastest-growing cancer diagnoses globally, with approximately 20 million ultrasound exams performed annually in the U.S. for thyroid and breast conditions combined [2] - The deployment of See-Mode's FDA-approved thyroid ultrasound AI has shown a 30% reduction in scan time, indicating significant potential for improved workflow efficiency [2] - The existing reimbursement code for thyroid ultrasounds may enhance revenue opportunities for RadNet, with plans to extend these efficiencies to breast screening and other areas [2][5]