Ant Group is accelerating its AI medical industry layout. On March 21, it announced upgrades to its latest AI product system across medical institutions, doctors, and users. For medical institutions, Ant Group, in collaboration with Huawei's Medical and Health Corps and Alibaba Cloud, launched the "Ant Medical Large Model Integrated Machine" full-stack solution. For the 290,000 registered doctors on Good Doctor Online, it released a series of AI doctor assistant tools. Simultaneously, the user-facing health application, "AI Health Manager," introduced over ten new features, including intelligent reasoning and health self-testing. In the era of AI, medical institutions are increasingly demanding large models...

Recently, some users discovered that in addition to familiar service and mini program entries, Alipay's search results now prominently feature intelligent responses from a 'Smart Assistant' and simultaneously provide users with one-click access to available services. After announcing the launch of the Alipay 'Smart Assistant' in April and showcasing AI financial advisors and AI medical assistants at the '2024 Digital China Construction Summit' in May, Alipay is now promoting 'AI Search' in June.

Doctor-patient dialogue is key to diagnosing conditions and establishing treatment plans. Google's AMIE model outperforms doctors in diagnostic accuracy and communication levels. AMIE continuously learns and self-improves by simulating patient dialogue environments. In evaluations, AMIE exhibits a higher diagnostic accuracy, accelerating AI medical applications.

Google has released the MedLM generative AI medical model, specifically designed for the healthcare sector. MedLM is based on Med-PaLM2, achieving an 85% accuracy in the United States Medical Licensing Examination. There are plans to integrate the Gemini model to expand services in the global healthcare industry. MedLM has already been applied in hospitals, drug development, and patient chatbots.

The global AI medical imaging market is projected to reach $29.8 billion by 2032. North America holds the largest market share, but the Asia-Pacific region is expected to grow the fastest. Applications of artificial intelligence in radiology and the demand for CT scans are driving market growth. Deep learning and computer vision are the primary technologies, with breast imaging and orthopedic applications being dominant.

Currently, there are significant doubts about the accuracy of AI medical diagnosis, which cannot replace the experience of doctors. Solving the issue of obtaining sufficient medical data is key to improving the accuracy of AI medical diagnosis. Image recognition and new drug development present significant growth opportunities for AI in healthcare. With technological advancements and data accumulation, the accuracy of AI medical diagnosis will gradually improve. AI medical diagnosis is in a growth window period with broad prospects.

Korea's KT Corporation plans to establish an AI medical R&D innovation zone in the Dongdaemun area of Seoul. An agreement signed with Sahmyook Medical Center and the medical big data company Humanitas aims to create a high-tech AI medical R&D innovation zone. The goal is to establish an emergency medical system on underutilized hospital land, supporting medical data R&D activities, with completion scheduled for 2028. Korea's KT Corporation will be responsible for building the integrated information and communication technology infrastructure, while Humanitas will provide systems and data support for medical R&D.