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

This paper discusses the necessity of artificial intelligence(AI)technology empowering the field of traditional Chinese medicine(TCM)in the context of the intelligent era,the connotation and tasks of smart TCM,and the progress of related research and transformation.It closely follows the national orientation,rigid needs and problems,conducts top-level design,and proposes popular AI technologies that can be used in the field of TCM in the future and the research directions that smart TCM will focus on in the fu-ture,in order to further promote the integration of multidisciplinary cross-innovation and help realize the modernization,inheritance and innovation of TCM and lay the foundation.

This paper discusses the necessity of artificial intelligence(AI)technology empowering the field of traditional Chinese medicine(TCM)in the context of the intelligent era,the connotation and tasks of smart TCM,and the progress of related research and transformation.It closely follows the national orientation,rigid needs and problems,conducts top-level design,and proposes popular AI technologies that can be used in the field of TCM in the future and the research directions that smart TCM will focus on in the fu-ture,in order to further promote the integration of multidisciplinary cross-innovation and help realize the modernization,inheritance and innovation of TCM and lay the foundation.

Multiple sclerosis (MS) is an autoimmune disease characterized by demyelination, axonal injury, and neuronal loss in central nervous system. Experimental autoimmune encephalomyelitis (EAE) animal model is widely used in MS. Accumulating evidences indicate that the programmed cell death-1/programmed cell death-ligands-1 (PD-1/PD-L1) pathway participates in pathogenesis of autoimmune diseases. The authors comprehensively review the roles of PD-1/PD-L1 pathway in pathogenesis of MS and EAE animal model, and discuss the potential of this pathway as a new therapeutic target for MS, to provide reference for immunotherapy research of MS.

Objective:To explore the accuracy of intelligent calculation (IC) method for risk assessment of hospitalization for patients, aiming to build a more advantageous risk assessment system.Methods:The "Search Engine" program was developed based on hospital information system (HIS) of the Fifth Center Hospital in Tianjin, which automatically captured patient information and generated nutritional risk screening 2002 (NRS 2002) score, Caprini thrombosis risk assessment model and Padua thrombosis risk assessment model for venous thromboembolism (VTE), the CHA 2DS 2-VASc for predicting stroke risk stratification in atrial fibrillation and the HAS-BLED for predicting bleeding risk in anticoagulated patients with atrial fibrillation. A randomized controlled trial was conducted. According to the applicable conditions of each risk assessment, 100 risk scores from "Search Engine" program belonged to each risk assessment were randomly selected, defined as the IC group. Manual scoring with the data of the same case at the same time, defined as the traditional calculation (TC) group, compared the consistency of the scores and the difference in time-consuming between the two groups. Results:The Bland-Altman plots showed that the 95% limits of agreement (95% LoA) of NRS 2002 score, Caprini score, Padua score, CHA 2DS 2-VASc score and HAS-BLED score was -0.46 to 0.41, -0.49 to 0.52, -0.50 to 0.41, -0.67 to 0.60, -0.44 to 0.43, respectively, all P > 0.05. In this study, the Bland-Altman plot showed that 95%, 96%, 97%, 97%, 95% plots fell within the 95% LoA in NRS 2002 score, Caprini score, Padua score, wwCHA 2DS 2-VASc score and HAS-BLED score by the two methods, respectively. The all plots of 95% LoA were within the clinically acceptable range (-0.5 to 0.5 scores). The time-consuming of NRS 2002 score, Caprini score, Padua score, CHA 2DS 2-VASc score and HAS-BLED score in IC group were significantly shorter than those in TC group [0.72 (0.71, 0.73) seconds vs. 361.02 (322.41, 361.02) seconds, 0.72 (0.72, 0.73) seconds vs. 196.68 (179.99, 291.20) seconds, 0.72 (0.72, 0.73) seconds vs. 105.75 (92.32, 114.70) seconds, 0.72 (0.71, 0.72) seconds vs. 72.66 (56.24, 84.20) seconds, 0.72 (0.71, 0.72) seconds vs. 51.30 (38.88, 57.15) seconds, respectively, all P < 0.001]. Conclusion:For the above five risk assessments, the TC method and IC method has good consistency in scores, and the IC method is faster, which has good application prospect for clinical application.

Objective:To explore the characteristics of the changes in risk score for intensive care unit (ICU) patients during hospitalization by the intelligent calculation method, and to provide evidence for the risk prevention.Methods:In this retrospective study, ICU patients of the Fifth Central Hospital in Tianjin from November 3, 2021 to March 28, 2022 were enrolled and divided into ≥ 14 days group, 10-13 days group, 7-9 days group, and 3-6 days group according to the ICU length of stay. Risk scores assessed by the intelligent calculation method of the ICU patients were collected, including nutritional risk screening 2002 (NRS 2002), Caprini score and Padua score. NRS 2002 score for all patients, Caprini score for surgical patients and Padua score for internal medicine patients were selected. Trends in change of each score were compared between patients admitted to ICU 1, 3, 7 (if necessary), 10 (if necessary), and 14 days (if necessary).Results:A total of 138 patients were involved, including 79 males and 59 females, with an average age of (61.71±18.86) years and an average hospital stay of [6.00 (4.00, 9.25)] days. ① in the group with ICU length of stay ≥ 14 days (21 cases): there was no significant change in the NRS 2002 scores of the patients within 10 days, but the NRS 2002 score was significantly decreased in 14 days as compared with 1 day [3.00 (2.50, 3.50) vs. 4.00 (3.00, 5.00), P < 0.05]; both Caprini and Padua score were increased with prolonged hospital stay and compared with 1 day, the scores at the other time points were significantly increased, especially at 14 days [Caprini score: 5.00 (3.25, 7.00) vs. 2.50 (1.25, 5.50), Padua score: 6.00 (6.00, 7.00) vs. 3.00 (1.00, 3.00), both P < 0.05].② in the group with ICU length of stay from 10-13 days (15 cases): with the prolonged hospital stay, there was no significant change in NRS 2002 score, but both Caprini and Padua score were increased at 3, 7, 10 days, especially at 10 days [Caprini score: 3.00 (2.00, 4.75) vs. 2.00 (0.25, 2.75), Padua score: 5.00 (3.50, 6.00) vs. 2.00 (0.50, 4.00), both P < 0.05].③ in the group with ICU length of stay from 7-9 days (23 cases): compared with 1 day, the NRS 2002 score at 3 days and7 days were decreased, but the Caprini and Padua score were increased, especially at 7 days [NRS 2002 score: 2.00 (1.00, 4.00) vs. 2.00 (2.00, 4.00), Caprini score: 3.00 (2.00, 5.50) vs. 2.00 (0.25, 3.00), Padua score: 5.00 (4.00, 6.00) vs. 2.00 (0, 2.00), all P < 0.05]. ④ in the group with ICU length of stay from 3-6 days (79 cases): compared with 1 day, the NRS 2002 score at 3 days was decreased [NRS 2002 score: 2.00 (1.00, 3.00) vs. 2.00 (1.00, 3.00), P < 0.05], Caprini and Padua score were significantly increased [Caprini score: 3.00 (2.00, 4.00) vs. 2.00 (1.00, 3.00), Padua score: 5.00 (4.00, 5.00) vs. 2.00 (1.00, 3.00), both P < 0.05]. Conclusion:Based on dynamic assessment of intelligent calculation methods, the risk of thrombosis in ICU patients increased with hospital length of stay, and the nutritional risk was generally flat or reducing in different hospitalization periods.

Objective: The present study aimed to examine the mediated moderation effect underlying the association between parental psychological aggression and phubbing, as well as the mediating role of anxiety and moderating role of sex and grade. Methods: Based on a cross-sectional study, a total of 758 Chinese junior high school students had completed measures on socio-demographic characteristics, parental psychological aggression, anxiety and phubbing. Structural equation modeling was adopted to examine the mediating effect of anxiety on the association between parental psychological aggression and phubbing. Multigroup analyses were conducted to explore whether the path coefficients differed by sex and grade. Results: Mediation analysis indicated that anxiety could mediate the association between parental psychological aggression and phubbing. The indirect effect of parental psychological aggression on phubbing via anxiety was 0.12. Multigroup analyses revealed that the higher mediation effect of anxiety was more likely to be reported by boys and students from grade eight. Conclusion Findings of the present study may inform prevention and intervention programs for phubbing in adolescents exposed to parental psychological aggression, by decreasing the anxiety and adopting selective strategies for different sex and grade groups.

The amyloid plaques (Aβ) hypotheses and Tau propagation hypothesis are still proposed as the most prevailing causes for Alzheimer's disease (AD). Recent compelling evidences have firmly demonstrated that there are tight involvements of dysfunction of the immune system in the pathogenesis and progression of AD. Here, we review the current knowledge on the role of immune system in pathogenesis of AD and discuss the most relevant findings in immunotherapies for AD to help clinician to further consider the possible direction of diagnosis and treatment of AD.

Lung cancer has brought tough challenges to human health due to its high incidence and mortality rate in the current practice. Nowadays, computed tomography (CT) imaging is still the most preferred diagnostic tool for early screening of lung cancer. However, a great challenge brought from accumulative CT imaging data can not meet the demand of the current clinical practice. As a novel kind of artificial intelligence technique aimed to deal with medical images, a computer-aided diagnosis has been found to provide useful auxiliary information, attenuate the workload of doctors, and significantly improve the efficiency and accuracy for clinical diagnosis of lung cancer. Therefore, an effective combination of computer-aided techniques and CT imaging has increasingly become an active area of investigation in early diagnosis of lung cancer. This review aims to summarize the latest progress on the diagnostic value of computer-aided technology with regard to early stage lung cancer from the perspectives of machine learning and deep learning.

Objective:To evaluate the day-surgery unit-based training of laparoscopic cholecystectomy (LC).Methods:Perioperative data of 438 patients (187 males and 251 females) with a median age of 54 (aged 17 to 91) years undergoing LC during January 2019 to April 2021 in the day-surgery unit of Chinese PLA General Hospital were retrospectively collected and subdivided according to the training methods of surgeons [Group A( n=260): conventional training vs. Group B ( n=178): protocoled stepwise training]. The protocoled stepwise training consists of the rotation in open biliary surgery unit, the stimulator-based laparoscopic training, and the stepwise procedural tutoring. The conventional training features the traditional surgical practice following senior surgeons. The technical data involving operation time, blood loss, the percentages of intraoperative decision-making by senior surgeons and the handing-over of procedure to senior surgeons, etc. were statistically analyzed. Results:The operation time was shortened in Group B [(55±30) min vs. (61±33) min], with significantly decreased percentages of intraoperative decision-making by senior surgeons [7.9% (14/178)vs. 16.9%(44/260), P<0.05] and the handing-over of procedure to senior surgeons [3.4%(6/178) vs. 11.2%(29/260), P<0.05]. Conclusion:Based on the protocoled stepwise training and the consecutive, high-volumed and standardized procedures, the laparoscopic technical proficiency and competency of the trainee surgeons have been improved.