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AIGC is already everywhere, and scenario exploration is changing with each passing day.

recently,The Second Affiliated Hospital of Zhejiang University School of Medicine has released the first electronic medical record system in China embedded with an AI big model - Medcopilot (MedicalAI Assistant, a discharge summary can be generated within a few seconds.

Previously, Internet giants have also launched large-scale model products for the medical industry, such as Baidu's "Lingyi Big Model", JD's "Jingyi Qianxun" and Ant's "Alipay Medical Big Model". AIGC scenario exploration has covered the entire clinical process from pre-diagnosis to post-diagnosis.

Let us take Zhejiang as the geographical coordinates and talk about the specific applications of AIGC in the field of medical health.

In Zhejiang, the diverse applications of AIGC scenarios in the medical and health field are closely related to its rich industry needs.

In the hospital application innovation, Medcopilot launched by Zhejiang University Second Hospital has launched a variety of AI functions for auxiliary diagnosis and treatment. Its knowledge retrieval function can help doctors quickly obtain the latest medical knowledge and research results; the automatic generation of patient cases can reduce the paperwork burden of doctors; the real-time data automatic generation of trend charts function can allow doctors to more intuitively understand the changing trend of patients' conditions.

In the exploration of medical big models by large companies, Ant Group released the "Alipay Medical Big Model" at the World Artificial Intelligence Conference (WAIC) in July this year. This big model is developed based on Ant's "Bai Ling Big Model" and has native multimodal capabilities, and has the ability to process and understand multimodal data such as audio, video, images, and text. By adding a large amount of medical-related data, this medical big model can not only provide intelligent question and answer, medical record structuring and retrieval, auxiliary diagnosis and other functions, but also identify and interpret drugs, interpret hundreds of complex medical reports, and perform hair health tests.

In terms of health management such as pre-disease management, Zhejiang Meinian Health announced in April this year that the beta version of the first domestic health management AI robot, "Healthy Xiaomei", developed in cooperation with Runda Medical and other parties, was officially launched. "Healthy Xiaomei" builds a digital health record for users throughout their life cycle, with five major functions including "data-driven personalized services, intelligent health management platform, digital twin health management, intelligent auxiliary diagnosis, innovative technology and research and development".

Specifically in terms of application areas, at present, medical big models are mainly used in medical image analysis, clinical assistance, drug development, and personalized treatment plan formulation.

In medical image analysis, the medical big model can assist doctors in identifying diseases in medical images such as CT and MRI through AI algorithms; in clinical assistance, the medical big model can integrate the patient's medical history, symptoms, test results, etc., to provide doctors with comprehensive diagnostic advice and treatment plan references; in the field of drug research and development, through the study of a large amount of drug molecular structure and biological activity data, the big model can predict the activity, toxicity and side effects of drugs, thereby accelerating the process of drug research and development and reducing research and development costs; at the same time, the big model can also tailor the most suitable treatment plan according to the individual differences of the patient to achieve precision treatment.

At present, the global AIGC market size is still expanding. According to iMedia Research, the core market size of China's AIGC industry will reach 7.93 billion yuan in 2023 and is expected to grow to 276.74 billion yuan in 2028. As an important landing sector, the market size of healthcare will also grow further.

It is undeniable that the current development of AIGC in the medical field still faces three major challenges: computing power, algorithms, and data. For example, most medical data in China is stored in different medical institutions, the business systems are relatively independent, and the real-world scenario data sets available for training are limited.

In Zhejiang, many companies have explored the medical sub-sectors and are already at the forefront of the industry. The spring of "AIGC+medical" for Zhejiang companies may be coming. (This article was first published on Titanium Media App, author | Wu Sican, editor | Zuo Jian)