Top 10 AI + Healthcare Use Cases Roundup

The wave of artificial intelligence technology is sweeping the globe, theAI macromodelWith its excellent data processing capability and deep learning ability, it is becoming a key force for change in the healthcare field. In this paper, we will deeply explore the innovative practices of AI big models in the top ten scenarios of healthcare, demonstrating its broad prospects for improving the efficiency of healthcare services, empowering clinical decision-making, and promoting the intelligent transformation of the industry.

Ten application scenarios

1. Intelligent diagnosis and treatment: based on massive medical data, assisting clinical diagnosis and decision-making.

AI Big Model is able to assist doctors in making more accurate diagnoses by analyzing massive medical data. For example, the Baidu LingMed Big Model utilizes its powerful data processing capabilities and has been applied in more than 200 medical institutions through API or plug-in embedding, significantly improving the accuracy and efficiency of diagnosis. In addition, MedGPT Big Model launched by MedLINK, based on Transformer architecture, has a parameter scale of 100B (hundreds of billions) and uses more than 2 billion medical text data in the pre-training phase, which is committed to realizing the whole process of intelligent diagnosis and treatment from disease prevention, diagnosis, treatment to rehabilitation.

2. Personalized treatment: accurate patient profiling, intervention in patient management, and improved efficiency

In terms of personalized treatment, AI models can accurately profile patients, develop personalized treatment plans, and help realize patient management strategies for thousands of patients. For example.Large model of the source of Round Center TechnologyEach user has a label, the management service will be based on the different characteristics of the person targeted attention to patient drug adherence, co-medication pre and disease recovery management, through the big model of digital applications for patients to generate customized disease science and pharmaceutical services.

3. Drug R&D: accelerating drug candidate screening and optimizing clinical trial design

AI macromodeling also plays an important role in the field of drug discovery and development. Jintech's XpeedPlay platform utilizes big model technology to generate seedling antibodies at ultra-high speed, accelerating the drug development process. OpenComplex 2, an all-atom biomolecule model developed by Zhiyuan Research Institute, can effectively predict complexes such as proteins, RNA, DNA, sugars, and small molecules, which can improve the efficiency of drug development. In addition, Tencent's "iDrug" platform has also been equipped with the ability to accelerate the discovery of both small-molecule and large-molecule drugs.

4. Medical Image Analysis: Empowering Radiology to Enhance the Efficiency and Level of Medical Services

In the field of medical image analysis, AI big model automatically identifies lesion areas in medical images through deep learning technology. Beijing Tiantan Hospital of Capital Medical University and Beijing Institute of Technology team launched the "Dragon Shadow" big model (RadGPT), based on which the first "Chinese digital radiologist" "Xiaojun" was developed. The first Chinese digital radiologist developed based on this model, "Xiaojun", has already realized the rapid generation of diagnostic opinions for more than a hundred diseases by analyzing MRI image descriptions, and it takes only 0.8 seconds to generate diagnostic opinions for one case on average. At present, Dr. Xiaojun can provide diagnostic opinions for hundreds of diseases such as cerebrovascular diseases, tumors and infectious diseases in a dozen parts of the brain, neck and chest.

5. Medical quality control: big model driven standardized medical treatment, improve the quality of medical documents and images.

AI Big Model can generate standardized medical document templates, quickly detect defects in documents and images, and improve medical quality and efficiency. The application of the medical big model launched by Huiji Technology in the medical record quality control scenario can simulate manual experts to automatically analyze the connotative defects in the medical record documents and push the defective issues and modification opinions through CDSS for doctors to modify the medical records for reference. CCTC Haihe Lab's medical image quality control big model can quickly detect whether there are any problems such as incorrect posing when X-ray films are taken, and make timely adjustments so that the images obtained are clearer, avoiding repeated examinations or reducing the number of subsequent examination steps.

6.Patient Service: Comprehensive Q&A to enhance the experience of medical treatment.

AI big model can provide patients with intelligent guidance, symptom self-examination, medical guidance and other services to improve the patient experience.Baidu Wenshin Big Model and LingMed Big Model Combined to Support AI Drug InstructionsA typical example is the AI drug instruction manual, which supports patients to read the drug instructions and ask questions to the AI drug instruction manual through text and voice. With the support of the big model, the AI drug instruction manual will automatically generate the results according to the patient's input, and assist the answer with the help of the virtual image of the pharmacist/doctor.The AI big model provides a more convenient channel for patients to obtain education and information.

7. Hospital management: help smart hospital construction, optimize resource allocation

The AI Big Model provides auxiliary management decision support for hospital administrators and improves hospital operational efficiency.Dong Feng's big model released by Wan Ren WisdomThe application of large models covering the entire disease process realizes the intelligent and efficient allocation of medical resources. Provide intelligent application engines such as "Primary Care Guidelines" and "Case Verification and Quality Assurance" for the healthcare community to reduce the workload of healthcare professionals. At the same time, it provides hospital management system with in-depth customization functions such as "National Medical Performance Assessment" and "Comprehensive Cost Control for Programs" to help improve the performance of national public hospitals in medical performance assessment and strengthen the effective management and rational allocation of medical resources.

8. Teaching and Research: Building Medical Knowledge Atlas, Promoting Innovation in Medical Education

AI macromodeling plays an important role in medical education and research.MediTech Large ModelBased on more than 100 billion refined Token training, it meets the requirements of high-quality data and refined data processing, and empowers medical research and clinical assistance, etc. The new generation of scientific research data platform can comprehensively support clinical researchers from AI reading and summarizing the literature, searching for medical records in natural language, to intelligent data processing, automated statistical analysis, and intelligent generation of first draft of thesis, etc., and accelerates the cycle of scientific research output thesis from 6 to 12 months to 1 to 2 months. 12 months to 1-2 months.

9. Intelligent Chinese medicine: Chinese medicine modernization, standardization process accelerated

AI big model for data mining of knowledge related to Chinese medicine, to promote the development of Chinese medicine knowledge standardization and diagnosis and treatment standardization.The "Digital Intelligence Herbal" Chinese Medicine Model jointly released by Tiansi Li Pharmaceutical Group and Huawei CloudThe model is designed to provide strong support for Chinese medicine research by integrating three major types of data, namely, conformity, innovation and industrialization. The large model has 38 billion parameters, based on the pre-training of massive text data of Chinese medicine, combined with vector library search enhancement and fine-tuning of multiple scenarios of traditional Chinese medicine research and development, which can better help researchers to complete the mining and summarization of the theoretical evidence of traditional Chinese medicine, and to promote the modernization of traditional Chinese medicine.

10. Public health: strong support for early warning of epidemics, prevention and control of infectious diseases

AI Big Models for Big Data Analysis and Trend Determination in Epidemiology. Recently, EBioMedicine, a sub-journal of The Lancet, published anChinese Scientists Apply Adaptive AI Models and Multi-source Data to Predict Influenza Activity in Chongqing MunicipalityThe research, which was jointly completed by Ping An Technology, Ping An Smart City and Chongqing Center for Disease Control and Prevention, Army Medical University and Tsinghua University, is China's first real-time flu prediction model based on AI and big data.

future outlook

AI big models are gradually penetrating all corners of the healthcare industry, from accurate diagnosis to personalized treatment, from drug R&D to public health, the application of AI big models is driving the healthcare industry in the direction of more efficient and smarter development. With the continuous progress of technology, AI big model will play a more critical role in improving the quality of medical services and promoting the digital transformation of the medical industry. In the future, cross-domain integration, intelligent healthcare, inclusive healthcare, and the improvement of ethics and regulation will become the new trends in the development of AI Big Model, and together they will open a new era in healthcare.

One is technology integration and interdisciplinary innovation.AI Big Model will deeply integrate with bioinformatics, gene editing, nanotechnology and other cutting-edge scientific fields to promote the development of personalized medicine and precision medicine. By integrating data and knowledge from different fields, AI Big Model will be able to provide more comprehensive and in-depth medical solutions to achieve personalized and precise disease treatment and health management.

The second is the construction of an intelligent medical system.Future hospitals and clinics will increasingly adopt intelligent systems, in which AI Big Model will play a central role. From intelligent diagnosis and treatment plan development to patient monitoring and rehabilitation management, AI Big Models will provide automated and intelligent healthcare services to improve the efficiency and quality of healthcare services.

Third, the realization of universal health care.The application of AI grand models will help narrow the gap between urban and rural medical services, and sink high-quality medical resources to grassroots and remote areas through technical means such as telemedicine and mobile medicine. This will greatly improve the coverage and accessibility of medical services and realize the balanced distribution of medical resources.

Fourth, the improvement of ethical and regulatory mechanisms.With the widespread application of AI macromodels in the medical field, ethical and regulatory issues have become increasingly prominent. In the future, it is necessary to establish a more complete ethical review and regulatory mechanism to ensure that the application of AI technology does not violate patient privacy or cause data leakage, and at the same time to ensure the transparency and interpretability of AI medical decision-making.

concluding remarks

The future development of AI Big Model in healthcare will be multifaceted, not only limited to technological advances, but also involving multiple dimensions such as ethics and regulation. Through continuous innovation and efforts, AI Big Model is expected to revolutionize the healthcare industry, improve the quality and efficiency of healthcare services, and bring greater benefits to patients worldwide.