AI医疗行业研究报告：AI医疗前景广阔，政策助推应用落地

Investment Rating - The report recommends a "First Time Buy" rating for the AI healthcare industry [6] Core Insights - The AI healthcare industry is experiencing robust growth, with the market size in China expected to increase from 97.3 billion yuan in 2023 to 159.8 billion yuan by 2028, representing a compound annual growth rate (CAGR) of 10.5% from 2022 to 2028 [2][28] - The industry is supported by various government policies aimed at accelerating the implementation of AI technologies in healthcare settings [3][37] - Different application scenarios within AI healthcare exhibit varying levels of maturity, with medical imaging and drug development showing rapid growth [4][32] Summary by Sections 1. AI Technology Development in Healthcare - AI healthcare refers to the use of advanced technologies such as machine learning, natural language processing, and computer vision to analyze complex medical data, assisting clinical decision-making and optimizing treatment processes [12] - The core technologies in AI healthcare include medical imaging analysis, natural language processing, drug development, and intelligent health management [14][18] 2. Market Size and Growth - The AI healthcare market in China was valued at 97.3 billion yuan in 2023 and is projected to reach 159.8 billion yuan by 2028, with a CAGR of 10.5% [28] - The AI medical imaging market is expected to grow significantly, with a projected size of approximately 74.5 billion yuan in 2024, reflecting a year-on-year growth of 160.5% [32] - The AI drug development market is anticipated to grow from 410 million yuan in 2023 to 5.86 billion yuan by 2028, with a CAGR of 68.5% [33] 3. Policy Support - The Chinese government has introduced multiple policies to support the development of AI in healthcare, including guidelines for AI applications in medical institutions [3][37] - Key policies include the "Artificial Intelligence + Action Plan" and the "Guidelines for the Pricing of AI-Assisted Diagnostic Services" [37] 4. Application Scenarios - AI healthcare applications can be categorized into pre-treatment, during treatment, and post-treatment stages, covering health promotion, disease prevention, diagnosis, treatment, rehabilitation, and chronic disease management [15][19] - The maturity of AI applications varies significantly across different scenarios, with medical imaging analysis being one of the most mature areas [22][24] 5. Key Companies in the Industry - Weining Health: Focuses on providing integrated solutions for healthcare information systems and has developed a medical AI model, WiNGPT, enhancing its service capabilities [50][51] - Chuangye Huikang: Specializes in healthcare information technology and has developed a comprehensive solution system for clinical decision support and electronic medical records [54][55] - Yidu Technology: Offers an AI-driven platform, YiduCore, that supports various healthcare sectors, including public health and clinical research [60][61] - Donghua Software: Develops AI solutions for healthcare, focusing on intelligent decision support systems and electronic medical record generation [65][66]