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RadNet Enhances Imaging with See-Mode AI Acquisition

RadNet, a diagnostic imaging company, has made a strategic move by acquiring See-Mode Technologies, an AI ultrasound imaging company. This acquisition aims to integrate See-Mode’s AI-powered ultrasound applications for thyroid and breast imaging into RadNet’s DeepHealth population health offerings. The goal is to enhance diagnostic accuracy and streamline workflows at RadNet’s imaging centers.

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Dr. Howard Berger, the president and CEO of RadNet, highlighted the positive impact of See-Mode’s technology on workflow efficiency. Early deployment of See-Mode’s FDA-approved thyroid ultrasound AI has resulted in a significant reduction in scan time, showcasing the potential for increased efficiency and improved patient access at RadNet’s facilities.

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This acquisition aligns with a larger trend in the healthcare industry where companies are leveraging AI technology to enhance imaging solutions. In a previous collaboration between GE HealthCare and DeepHealth, efforts were made to advance AI innovation in imaging technology, focusing on improving imaging interpretation efficiency and enhancing clinical outcomes.

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RadNet’s collaboration with Volpara Health Technologies in deploying advanced analytics and risk assessment software across its imaging centers further underscores the industry’s shift towards incorporating AI-driven solutions to optimize healthcare services.

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See-Mode Technologies’ recent achievements in obtaining regulatory clearances for its AI-powered offerings in detecting thyroid and breast issues highlight the company’s commitment to advancing medical imaging technology. By securing approvals from regulatory bodies in multiple countries, See-Mode has positioned itself as a key player in the AI ultrasound sector.

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As the healthcare landscape continues to evolve, the integration of AI technologies in diagnostic imaging is poised to revolutionize patient care. By harnessing the power of AI, healthcare providers can enhance diagnostic accuracy, streamline workflows, and ultimately improve patient outcomes.

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Overall, RadNet’s acquisition of See-Mode Technologies exemplifies the industry’s ongoing efforts to leverage innovative AI solutions for enhanced healthcare delivery. This strategic partnership is expected to drive operational efficiencies, improve patient access, and foster revenue growth for RadNet’s imaging centers.

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