On March 15, 2025, a forum focusing on "AI big model driven medical innovation" was held in Guangzhou. Several medical experts gathered together to discuss the widespread application and future development direction of artificial intelligence in the medical field.
Currently, the application of AI technology in the medical field has broken through traditional limitations and expanded from imaging, pathological detection, and other fields to a wider range of scenarios. Sun Binggang, Executive Vice President and Secretary General of Guangdong Precision Medicine Application Society, pointed out that the application of AI in healthcare has accumulated for many years, and with the rise of large-scale modeling technology, its potential has been further released. The application of AI in patient services has shown initial results, and in the future, it is expected to achieve functions such as intelligent guidance and appointment registration, improving the patient's medical experience. In addition, AI has shown great potential in assisting diagnosis and disease prediction, which can help doctors perceive the progression of patients' conditions in advance, provide diagnosis and treatment recommendations, and thus improve medical efficiency.
The value of AI in the medical field is not only reflected in improving efficiency, but also in its ability to provide personalized treatment plans and improve diagnostic accuracy. Du Ruxu, a member of the Canadian Academy of Engineering and a professor at South China University of Technology, stated that the application of AI in the medical field has made progress. For example, in the field of dentistry, AI toothbrushes can provide personalized brushing advice based on individual oral conditions; The AI system records and integrates patient visit and examination information to provide doctors with more comprehensive case data.
However, the widespread application of AI healthcare also faces many challenges. Sun Binggang emphasized that the privacy protection and security of hospital data are the core issues in the development of AI healthcare. The diagnostic opinions and suggestions generated by AI cannot completely replace the professional judgment of doctors at present, but rather serve as auxiliary tools for doctors. In addition, the complexity of data management and privacy protection have become challenges for the promotion of AI healthcare.
To address these challenges, experts are calling for the standardized development of AI healthcare. Sun Binggang stated that the standardized development of AI healthcare requires joint efforts from multiple parties such as the government, universities, research institutes, experts, and medical institutions to clarify the scope and standards of AI applications in healthcare. AI healthcare needs to develop healthily within a compliant framework.
Zhang Baoming, General Manager of the Information Security Department of Digital Guangdong Network Construction Co., Ltd., pointed out that the sensitivity and importance of medical data determine that stricter information security measures must be taken. By establishing a multi-level information security protection system and monitoring the entire process from data input to output, the security and compliance of AI big models in the medical field can be ensured. The combination of law, technology, and ethics is the key to ensuring the security of AI medical data.
AI healthcare is gradually expanding to a wider range of scenarios, bringing new opportunities and challenges to the healthcare industry. However, while promoting the development of AI healthcare, it is necessary to pay attention to issues such as information security, law, and ethics, ensuring its healthy and sustainable development within a compliant framework, injecting new vitality into the healthcare industry, and better serving patients and society.
