The in-depth application of artificial intelligence in the medical industry has gradually optimized many aspects from diagnosis to management, significantly improving medical efficiency and reducing operating costs. The application of AI in medical image analysis, personalized medical data platforms, health management and other fields has improved diagnostic accuracy and medical process efficiency. For example, AI systems in medical imaging can help doctors identify diseases faster and more accurately, improve diagnostic accuracy and reduce misdiagnosis.
Another key area is the deployment of personalized medicine platforms and health data systems. These systems use patients' health data to provide healthcare providers with more accurate disease predictions and personalized treatment recommendations, and are expected to support 50% of patients by 2028. Such advancements will not only improve patients' treatment experience, but also enable healthcare providers to provide accurate medical services under efficient data management.
Overall, the promotion of AI technologies and policy support will continue to drive the digital and intelligent transformation of the healthcare industry, resulting in higher healthcare quality and lower healthcare costs for patients and healthcare institutions.
