On April 28, the 2024 Zhongguancun Forum Annual Conference "Reshaping Healthcare: Innovative Artificial Intelligence Transformation in Medicine" hosted by NEJM Medical Frontiers, a Chinese platform under the New England Journal of Medicine, and the Hospital Management Institute of Tsinghua University, and organized by Jiahui Healthcare, was held.
Forum site
At present, artificial intelligence is leading the technological revolution and has a profound impact on healthcare.
In his speech, Xiao Ruiping, Deputy Editor-in-Chief of NEJM and Dean of the School of Future Technologies, Peking University, emphasized the potential of medical AI to improve treatment outcomes, improve medical information exchange, and improve the efficiency of healthcare systems. At the same time, she also reminded to consider AI-related ethical issues, such as privacy, transparency and data sharing, called for the development of standards for the use of AI in healthcare, promoted transparency, and looked forward to the forum contributing wisdom to creating a better healthcare environment.
Zhang Zongjiu, executive vice president of the Institute of Hospital Management at Tsinghua University, said that the revolutionary role of AI in the medical industry includes accurately predicting medical needs, optimizing resource allocation, improving hospital operational efficiency, ensuring medical quality and safety, and providing scientific basis for policy formulation.
"Challenges in AI model deployment include accurately identifying clinical needs and interpretability of the model. Noa Dagan, director of AI medicine at the Clarit Institute and associate professor at Ben-Gurion University, gave an example of hepatitis C screening. He said that because the rate of hepatitis C screening in high-risk groups is not high, researchers have developed AI algorithms that help predict hepatitis C-positive patients, thereby improving the compliance and efficiency of screening. In addition, the availability or accuracy of data may not be consistent across subpopulations, so a generic model built from a population population must be fine-tuned to the specific characteristics of the subpopulation to ensure the accuracy of the model.
Group photo of some of the participants
Cai Xiujun, President of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, introduced the innovative practices and achievements of Sir Run Run Shaw Hospital in the integration of AI and medical care. For example, through the mobile phone application, registration, payment, checklist management, etc., greatly improve the convenience of patients to seek medical treatment. The hospital has also developed a "Smart Medication" app to help patients manage their medications. In addition, AI has also played an important role in the sinking of medical resources.
Building an AI-driven biopharmaceutical R&D institution is an important development direction in the current biomedical field. Tang Lei, head of Sanofi Translational Medicine China, said that AI can accelerate drug discovery, optimize drug design, and improve the efficiency of clinical trials, thereby greatly shortening the time to market for new drugs and reducing R&D costs.
Wang Yilong, Vice President of Beijing Tiantan Hospital, Capital Medical University, focused on the increasingly important role of AI in the prevention, diagnosis, treatment and management of neurological diseases. In terms of prevention, AI can predict the occurrence and severity of Parkinson's disease early by analyzing big data. In terms of diagnosis, AI technology can quickly analyze imaging data, predict the pathogenesis of cerebrovascular diseases, and assist in individualized and precise treatment. In terms of treatment, in the field of brain-computer interaction, such as deep brain stimulation therapy for refractory Parkinson's disease, AI can significantly reduce side effects through precise regulation.
In the roundtable discussion session, a number of internationally renowned experts and scholars had in-depth discussions on the application, challenges and future development of AI in the medical field.
Guizhou Daily Tianyan News reporter Yuan Hang
Edited by Luo Qiuhong
Second instance Shi Yunhua
Third trial Yue Zhen