The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

BACKGROUND:Most of the silver coating materials prepared using active screen plasma technology in the past do not involve the nanotechnology field.The formed silver coating is in a"thin film"form,which is coated on the surface of the substrate,and the distribution of silver particles on the surface is uneven.Its long-term antibacterial ability is challenged. OBJECTIVE:To prepare nano silver coatings capable of being"buried"within stainless steel(SS)substrates using active screen plasma surface modification(ASPSM)and to observe antibacterial activity. METHODS:The nano-silver coating was prepared by ASPSM technique on stainless steel substrate.Three groups of coating samples were prepared by adjusting the bombardment time(1,2,and 4 hours),which were denoted as 1 h-Ag-ASPSM@SS,2 h-Ag-ASPSM@SS and 4 h-Ag-ASPSM@SS,respectively.The antibacterial activity of the coatings was analyzed by antibacterial ring test and Gram staining.The antibiotic coating samples of gentamicin combined with vancomycin were prepared by using stainless steel as substrate and were recorded as ACNs.Stainless steel,2 h-Ag-ASPSM@SS,and ACNs were inserted into Staphylococcus aureus or Pseudomonas aeruginosa suspension,respectively.The long-acting(84 days)antibacterial activity of the samples was analyzed by coating plate method.Bone marrow mesenchymal stem cells were co-cultured with stainless steel,2 h-Ag-ASPSM@SS,and ACNs,respectively.CCK-8 assay,dead/alive staining,and lactate dehydrogenase activity of cell supernatant were detected.Stainless steel,2 h-Ag-ASPSM@SS,and ACNs were taken after continuous exposure to Staphylococcus aureus suspension for 12 weeks.The amount of residual viable bacteria on the surface of the material was evaluated by spread plate method.Vancomycin drug sensitive disk method was used to evaluate the resistance of residual live bacteria on the surface of materials. RESULTS AND CONCLUSION:(1)With increasing bombardment time,the diameter of nano silver on the sample surface and the silver content in the coating gradually increased.Among them,the 2 h-Ag-ASPSM@SS exhibited the highest surface silver content while forming uniformly spherical nanoparticles.(2)Antibacterial ring test and Gram staining results demonstrated that compared with 1 h-Ag-ASPSM@SS and 4 h-Ag-ASPSM@SS,the 2 h-Ag-ASPSM@SS exhibited better inhibitory effect on Staphylococcus aureus and pseudomonas aeruginosa.After co-culturing with bacteria for 42 and 84 days,the number of viable bacteria on the spread plate method was significantly lower in the 2 h-Ag-ASPSM@SS group compared to the stainless steel and ACNs groups.After co-culturing with Staphylococcus aureus for 84 days and Pseudomonas aeruginosa for 42 days,the number of viable bacteria on the surface of the eluate from the ACNs group was higher than that of the stainless steel group.(3)CCK-8 assay,live/dead staining and lactate dehydrogenase activity of cell supernatant displayed that 2 h-Ag-ASPSM@SS did not have obvious cytotoxicity.ACNs showed obvious cytotoxicity.(4)After co-culture with Staphylococcus aureus for 12 weeks,the residual viable bacteria on the surface of 2 h-Ag-ASPSM@SS group was less than that of stainless steel group,and the residual viable bacteria on the surface of the ACNs group was more than that of stainless steel group.Compared with the stainless steel group,the sensitivity to vancomycin was significantly decreased in the ACNs group(P＜0.001),and there was no significant change in sensitivity to vancomycin in 2 h-Ag-ASPSM@SS group(P＞0.05).(5)The above results indicate that the silver nanoparticle coated stainless steel greatly improves the deposition efficiency of silver nanoparticles on the stainless steel surface and has long-lasting antibacterial properties and good cell compatibility.

In recent years, artificial intelligence (AI) technology represented by deep learning (DL) has developed rapidly, and smart medical care has become one of the most important application areas of AI. As the most accurate noninvasive test to assess myocardial blood flow, myocardial perfusion imaging (MPI) has important clinical values. At present, the use of DL algorithms to establish learning models for MPI images is still in the research stage, and more external verification and iterative updates are needed before it can be widely used in real time clinical practice. In this article, the application of DL algorithms in MPI is comprehensively elaborated to provide a basis and direction for further research.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.

Objective:To explore the policy synergy of 71 Diagnosis-Intervention Packet(DIP)pilot cities from the perspective of policy synergy at both the national and provincial levels.Methods:Policy evaluation dimensions were constructed by text mining method,and the surface plots of policy consistency were drawn by the Policy Modeling Consistency Index(PMC),and the degree of policy synergy between each city and national policies and with cities in the province were calculated by correlation analysis.Results:Different levels of policy in pilot cities and the policy differences among pilot cities mainly focus on policy disclosure,core elements,and infrastructure,at the central level,most cities maintain a high degree of consistency with the state in terms of policy nature,management measures,infrastructure,and policy evaluation,and the policy timeliness,policy perspective,and core elements still need to be improved;at the provincial level,cities within the 20 provinces show characteristics in low level of complete synergy,high level of close synergy and differentiated partial synergy.Conclusion:The 71 DIP pilot cities have established a preliminary policy system,but there are still more cities with missing policies and a lack of coordination.In the future,efforts should be made to advance the policy development process,promote the improvement of the policy system,and promote coordination among pilot cities in policy implementation.