来源：环球网 自身实力方面，联影集团凭借着自主创新实力，已向市场推出超220款硬件和软件产品；具备产学研医 融合创新实力，通过科研合作助力当地医疗水平发展；提供全生命周期服务，7*24小时响应，完善的远 程技术支持系统等。这些优势，为联影拓展海外市场提供了强劲的内源动力，助力其在国际市场竞争中 稳步前行。 此外，在8月15日召开的China-Hospeq 2025全体会议上，中非医院联盟正式成立。联影医疗作为牵头单 位，联合北京协和医院、埃塞俄比亚华盛顿医院，发起中非医院联盟肿瘤防治联合工作组，联合复旦大 学附属中山医院、东南大学附属中大医院、四川省遂宁市中心医院、摩洛哥穆罕默德六世大学医院等共 同发起中非医院联盟数字化医学影像及介入联合工作组，计划通过中国自主研发的高端医学装备，以人 工智能辅助诊断、信息化技术平台为支撑，通过联合人才培养、学术技术交流、科研合作等多种方式， 提升非洲医学影像与介入治疗、肿瘤临床诊断及治疗水平。 在中非联盟-埃塞俄比亚援外班学员参观联影展台后，学员Dr. Fekadu Negash向环球网记者表示，对于 医生而言，拥有优质高效的诊断模式至关重要。另一个援外班学员Samuel ...

Group 1: AI in Healthcare Transformation - The healthcare sector is undergoing a profound transformation driven by AI technology, which is becoming an indispensable element in constructing the future medical ecosystem [1][2] - AI applications in the medical device industry are extensive, promoting the intelligent and personalized development of medical equipment [1][2] Group 2: Market Growth and Structure - The global "AI + healthcare" market is experiencing rapid growth, with an expected annual compound growth rate exceeding 29%, and the market size projected to reach $70 billion by 2032 [3] - Drug discovery and medical imaging are the two most significant areas for AI applications, collectively accounting for over 50% of the market [3] Group 3: AI Applications in Medical Imaging - Traditional imaging quality control faces challenges such as resource scarcity and low efficiency, which AI aims to address by enhancing diagnostic accuracy and consistency [3][4] - Siemens Healthineers has integrated AI across its entire product line, covering all stages of disease diagnosis and treatment, thereby improving workflow efficiency and diagnostic performance [3][4] Group 4: Innovations and Collaborations - Siemens Healthineers announced a collaboration with the Chinese Medical Association and China Telecom to launch a generative AI-based imaging quality control project [4] - GE Healthcare's Quantum CT platform integrates AI to enhance imaging efficiency and accuracy, achieving a 13-fold increase in reconstruction speed compared to traditional workstations [4] Group 5: Emerging Technologies and Trends - Philips showcased advanced AI technologies in ultrasound and MRI systems, significantly improving clinical workflow and diagnostic capabilities [5] - The integration of AI with medical devices is expected to drive the development of smarter, more precise, and personalized medical equipment [5] Group 6: Business Models in AI Medical Imaging - Three primary business models for AI medical imaging include platform sharing, software sales, and hardware-software integration [6] - Domestic medical device companies are actively entering the AI medical imaging field, developing intelligent product systems and commercial models [6] Group 7: Future Directions and Challenges - The integration of AI in healthcare is still in its early stages, with significant potential for growth in data standardization and algorithm precision [10] - Companies are exploring collaborations with local institutions to enhance AI development while addressing data sensitivity issues [10] Group 8: Investment and Market Focus - AI-related companies are gaining attention in the capital market, with significant valuations indicating strong investor confidence [11] - The focus on early diagnosis and screening in the AI healthcare sector is becoming a hot topic, with companies like Tempus AI leading the way [11][12]