China Securities Co., Ltd.: AI medical applications are widely used to help medical device companies and hospitals enhance competitiveness.

China Securities Co.,Ltd. Securities released a research report stating that the application value of AI in the improvement of medical equipment functions, interpretation of examination results, assisting clinical decision-making by doctors, and health management in various fields is significant, and it is an innovative direction and competitive trend that medical enterprises and hospitals must pay attention to. Enterprises are expected to further enhance their product competitiveness and customer stickiness through AI, consolidate their industry position and competitive advantage. AI in healthcare is also a key element in the competition for Chinese companies to go global. From the perspective of the AI layout of some overseas leading companies, in addition to independent research and development, mergers and acquisitions, external strategic cooperation, establishment of digital platforms, and ecosystems are also important ways to accelerate AI layout. In addition, utilizing tools like Deepseek can help enterprises reduce costs, increase efficiency, and improve profitability. The main points of China Securities Co.,Ltd. Securities are as follows: The application of AI in healthcare is wide-ranging, helping medical equipment companies and hospitals strengthen their competitiveness, reduce costs, increase efficiency, and improve profitability. From the perspective of application areas, it mainly includes medical imaging, IVD, surgical Siasun Robot&Automation, hospitals, and health management (such as smart wearables). In terms of the enabling power of AI and its benefits to clinical practice, it mainly manifests in the optimization of examination and test performance and results, improved safety, simplified operation and workflow, increased efficiency of doctors' work, assistance in diagnosis, intelligent and convenient consumer-end products, etc. For enterprises, the short-term contribution to revenue directly from AI applications may be limited, but AI empowerment can help enhance the competitiveness of products, increase long-term market share, and aid in lowering costs, increasing efficiency, and improving profitability. AI in healthcare assists leading companies in becoming stronger, and gradually becomes an active layout or transformation direction for second-tier and emerging companies. Leading companies have advantages in AI layout in terms of software-hardware coordination, clinical data accumulation, and channel promotion. Taking medical equipment companies as an example: 1) having complete hardware research and development capabilities and existing equipment bases, they can integrate AI algorithms with devices deeply, quickly implement AI functions relying on hardware advantages, and use mature channels for rapid promotion; 2) leading companies have more clinical data and advantages in AI model training and application development. AI in healthcare also provides opportunities for latecomers and emerging companies to overtake and transform. For companies with relatively lagging or less AI layout, they may face pressure of market share decline or even elimination in market competition. Looking at the AI layout of some overseas leading companies, in addition to continuously increasing independent research and development efforts, external mergers and acquisitions, external strategic cooperation, establishment of digital platforms and ecosystems are also important ways to accelerate AI layout. AI is expected to become one of the key variables in industrial competition and going global, or provide opportunities for overtaking. With overseas local companies accelerating their AI layout, AI is expected to be an indispensable variable for Chinese companies to participate in international competition. In recent years, Chinese companies have rapidly developed in big data, AI algorithms, large models, etc., with overall strength not inferior to overseas companies and even leading in some areas. China has a large population, abundant clinical data that can be used for AI application development, coupled with strong domestic policy support, domestic brands, especially leading companies, are expected to benefit from the rapid development of the domestic AI industry chain and achieve overtaking in international competition. From a policy perspective, in recent years, the number of AI medical products approved by the FDA has increased rapidly each year. At the same time, the FDA has also introduced related policies to further simplify the approval process to promote industry innovation and accelerate the application of AI. On the domestic market side, multiple departments including the National Health Commission jointly issued the "Reference Guide for AI Application Scenarios in the Health Industry" in November 2024 to promote the innovative development of "AI+" applications in the health industry. AI+Imaging: Can be applied to the entire process from screening to diagnosis to treatment, with application areas continuously expanding, and leading companies at home and abroad continue to increase their AI layout. In recent years, the application of AI in the field of medical imaging has developed rapidly, mainly focusing on screening, diagnosis, treatment, and the optimization of workflow, with good clinical value in image quality optimization, noise reduction, reduction of radiation dosage, remote diagnosis and treatment, simplification of workflow, shortening of diagnosis and treatment time, and assistance in diagnosis. AI+IVD: Can cover the entire process of testing, helping the laboratory department to reduce costs and increase efficiency. AI applications in the field of pathology have developed rapidly, with companies introducing AI pathology-assisted diagnostic products to diagnose digital pathology slides, effectively compensating for low diagnostic rates and insufficient doctors. AI+Siasun Robot&Automation: Increasing the precision and safety of Siasun Robot&Automation in surgery, and improving the efficiency of doctor operations. At present, the intelligence level of medical Siasun Robot&Automation is still in the early stage, with challenges and limitations including high development costs, reliance on data quality, ethical considerations, regulatory obstacles, but with great long-term development potential. AI+Hospital: AI is expected to reshape the healthcare service system, improve operational efficiency, and achieve precision medicine. The core value of AI in hospitals lies in achieving high efficiency with minimal resources, applicable in the pre-diagnosis, treatment, and post-diagnosis stages, while also expanding the accessibility of medical services. Several studies have shown that AI-assisted doctor diagnosis and treatment are expected to reduce misdiagnosis rates, and also play a synergistic role in the diagnosis and treatment of difficult and rare diseases. AI+Smart Wearables: A new round of upgrades for smart wearable devices, with huge market space in the consumer-end market. AI+ medical wearable devices, as alternative products to traditional medical equipment for households, are increasingly widely used at the consumer end, detecting and intelligently processing data on various physiological indicators such as blood oxygen content, heart rate, and electrocardiogram in real time.Meet the needs of user health detection management, early disease screening, and chronic disease monitoring. With the aging population and the rise of family medical concepts, the demand for AI + medical wearable devices in the market is expected to remain strong."Bonjour, comment a va?" "Hello, how are you?"