Data from McKinsey indicates that artificial intelligence can generate $3.5 trillion to $5.8 trillion in annual business value. According to IDC, the global AI application market is projected to reach $127 billion by 2025, with the global AI healthcare sector experiencing rapid growth and accounting for one-fifth of the AI market.
China’s artificial intelligence industry is also demonstrating rapid growth. Since AI technology began to be applied in gene sequencing in 2018, the commercialization model of AI healthcare has been gradually established and continuously refined. InAmong the vast amount of medical information,Medical imaging is a critical source of information for disease screening, diagnosis, and treatment decision-making. Among the numerous application areas of AI in healthcare, medical imaging has emerged as one of the hottest sectors, attracting the highest investment amounts, the most funding rounds, and boasting the most mature applications, thanks to its strong investment appeal, extensive use cases, and well-established technological framework. The high recognition and robust support from the capital market for the AI medical imaging industry will undoubtedly accelerate the research and development of related technologies and the deployment of application scenarios, thereby driving the transformation and upgrading of the entire medical imaging industry.
So, how is artificial intelligence driving application innovation in the field of medical imaging? And how does AI-powered imaging assist physicians in making more precise diagnostic and treatment decisions?
Based on this,byVB100、VCBeatHosted by,Leli CapitalSupportHost“AI Medical Imaging Forum”. This forumWe invite top experts and scholars, representatives from leading enterprises, and professionals from investment institutions to pool wisdom and strength from within and beyond the industry. Together, we will engage in in-depth discussions on the application trends, technological innovations, and future prospects of artificial intelligence in the field of medical imaging, thereby promoting the healthy and sustainable development of AI in this domain.
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