推动医疗AI走向基层，医疗人工智能协同创新论坛在沪举办

Core Viewpoint - The integration of AI in healthcare is poised to fundamentally transform traditional medical service models, enhancing the efficiency of scarce quality medical resources in China and accelerating the accessibility of medical AI [1][2]. Group 1: Industry Insights - The healthcare sector is at a historic crossroads, driven by the dual forces of technological evolution and market explosion, creating an unprecedented urgency for the adoption of AI in medical practices [2]. - The core battleground for medical AI has shifted from technical demonstrations to the competition for clinical scenarios and user habit formation, emphasizing the need for safe, effective, and trustworthy integration of AI into daily clinical processes [2]. - The rapid development of AI is profoundly reshaping the healthcare industry, necessitating a balance between clinical needs, safety, and innovation in the medical AI ecosystem [2]. Group 2: Company Initiatives - Huawei has launched a significant smart pathology cloud-edge-end solution and jointly released the RuiPath smart pathology integrated machine with Ruijin Hospital, aimed at enabling grassroots hospitals to quickly deploy AI pathology models and enhance diagnostic capabilities [3]. - Despite the maturity of AI-assisted pathology diagnosis technology, grassroots hospitals face challenges such as high costs of smart construction, long deployment cycles, and slow improvement in diagnostic accuracy, which hinder the widespread adoption of medical AI [3]. - The release of Huawei's solution marks a transition in China's medical AI application towards a phase of accessibility, facilitating the efficient and precise pathology diagnosis in grassroots hospitals and addressing the uneven distribution of medical resources [3].