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the application of ai in the medical field is not just to assist medical work, but to break through the limitations of the traditional medical model and enable new development directions in the medical field. for example, ai can be used in imaging diagnosis, assisting clinical decision-making and health management, improving medical quality and efficiency, and providing patients with personalized treatment and data processing services. with the development of social economy and the intensification of the aging trend of the population, residents' demand for high-quality medical resources continues to grow, while the traditional medical service model and the shortage of medical resources are becoming increasingly prominent. "ai+medical care" has become the "solution" to solve this problem.

at present, ai has achieved remarkable results in the medical field. for example, the medical big model "cdx good doctor xiaohui" released by runda medical empowers clinical, patient services and scientific research scenarios. the model combines a large amount of medical data with big model training technology to achieve accurate diagnosis and personalized treatment. in addition, ai can also reduce costs in the medical diagnosis and treatment process, and solve problems such as low management efficiency of medical institutions, frequent conflicts between doctors and patients, and shortage of medical resources.

however, the development of ai in the medical field faces many challenges. first, the structural complexity of medical data makes it difficult for machines to process effectively; second, ai large models need solid basic data to work. without basic data, they can only provide an inaccurate diagnosis and treatment plan. therefore, how to solve these problems is a breakthrough for ai in the medical field.

as an experienced medical technology company, runda medical has overcome the above difficulties through years of data governance accumulation and the support of a professional team, bringing new opportunities for ai technology to empower the medical field. based on nearly 100,000 data annotations and governance rules in the past six years, they used huawei cloud pangu big model for training to create cdx (clinical data x) - the medical data base. this project will structure the processing of medical data, jump out of the traditional model of "expert experience", and achieve more accurate diagnosis and treatment plans.

with the continuous development and application of ai technology, the medical field will usher in new changes in the future. for example, the application of ai in the medical field will gradually penetrate into all aspects, and eventually achieve accurate diagnosis and treatment plans like unmanned driving. this will promote the development of the medical industry in a more intelligent, digital and efficient direction, and bring better medical service experience to patients.