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21专访丨开立医疗AI首席科学家周国义:医疗智能的最高水平是人机共检
2 1 Shi Ji Jing Ji Bao Dao· 2025-10-21 23:12
Core Viewpoint - The highest level of medical intelligence should be L4, which emphasizes human-machine collaboration rather than a fully automated system, as expressed by Zhou Guoyi, Chief Scientist of KAILI Medical [1]. Group 1: AI in Healthcare - AI is rapidly transforming the healthcare industry, with advancements in disease screening, clinical diagnosis, risk assessment, and treatment decision-making [1]. - The global medical AI market is projected to exceed $100 billion by 2030, with medical imaging AI being one of the fastest-growing segments [1]. - KAILI Medical has been a pioneer in the systematic layout of ultrasound AI since 2016, adopting a "device + AI" strategy that integrates AI deeply into medical devices [2]. Group 2: Advantages of KAILI Medical's Approach - The "device + AI" strategy offers three core advantages: landing advantage, integration advantage, and performance advantage, allowing for optimal results with limited investment [2]. - KAILI Medical's approach ensures that AI assists doctors in intelligent device operation, completing comprehensive tasks rather than focusing on isolated steps [2][5]. - The company emphasizes the importance of high-quality data for the successful application of AI in clinical settings, which requires collaboration between medical professionals and engineers [8][9]. Group 3: Challenges and Solutions - Early challenges included the immaturity of deep learning frameworks and issues with reliability and scalability, which KAILI Medical overcame by developing its own framework and gradually enhancing hardware capabilities [4]. - The company faced concerns about the direction of its AI projects, but recognized the potential to transform traditional human-machine interaction in medical procedures [5]. - A significant challenge in developing specialized AI models is obtaining high-quality, well-distributed data, which is essential for effective algorithm performance [8]. Group 4: Future Directions - The future evolution of ultrasound AI will involve integrating multi-modal characteristics of ultrasound with AI multi-modal fusion technology to enhance diagnostic accuracy [10]. - KAILI Medical envisions a future where instruments, AI, and humans work seamlessly together, providing real-time diagnostic assistance to doctors [11]. - The relationship between AI and doctors is seen as a long-term collaboration, where AI serves as an assistant rather than a replacement, maintaining the human element in medical decision-making [10].