With the rapid advancement of artificial intelligence technology, chatbots have shown great potential in the healthcare sector. From personalized health advice to chronic disease management and psychological support, chatbots have demonstrated significant advantages in improving the efficiency and quality of healthcare services. As the scope of their applications expands, the relationship between technological complexity and practical application scenarios has become increasingly intertwined, necessitating a more comprehensive evaluation of both aspects. This paper, from the perspective of he althcare applications, systematically reviews the technological pathways and development of chatbots in the medical field, providing an in-depth analysis of their performance across various medical scenarios. It thoroughly examines the advantages and limitations of chatbots, aiming to offer theoretical support for future research and propose feasible recommendations for the broader adoption of chatbot technologies in healthcare.

Preeclampsia (PE) is a severe gestational disorder characterized by hypertension and proteinuria, with a subset of cases exhibiting an immune-driven phenotype marked by placental overexpression of proinflammatory cytokines and chronic inflammatory damage, profoundly impacting fetal development. To elucidate the pathophysiology of this PE subtype, we established an inflammation-driven PE mouse model via lipopolysaccharide (LPS) intraperitoneal injection, systematically evaluating histopathological changes in maternal heart, liver, lung, kidney, and placenta, and integrating transcriptomic profiling to uncover molecular mechanisms. LPS administration robustly induced maternal hypertension and proteinuria, hallmarks of PE, without significantly altering organ or fetal weights. Histological analyses revealed pronounced inflammatory damage in the maternal lung, kidney, and placenta, with the lung exhibiting the most severe pathology, characterized by inflammatory cell infiltration, alveolar wall thickening, and interstitial edema-challenging the conventional focus on placental and renal primacy in PE. Placental labyrinth and junctional zones displayed extensive structural disruption and necrosis, indicating functional impairment. Transcriptomic analysis identified 27 inflammation-related genes consistently upregulated across tissues, with protein-protein interaction networks pinpointing Il1β, Il6, Ccl5, Ccl2, Cxcl10, Tlr2, and Icam1 as hub genes. Quantitative PCR validation confirmed Tlr2 as a central regulator, evidenced by significant upregulation of Tlr2 in lung, kidney, and placenta of LPS-induced PE mice, while Cxcl10 exhibited placenta-specific upregulation, suggesting a synergistic inflammatory axis in placental pathology. These findings highlight the lung as a critical, yet underappreciated, target in inflammation-driven PE, reframe the multi-organ inflammatory landscape of the disease, and nominate Tlr2 and Cxcl10 as potential diagnostic biomarkers and therapeutic targets, offering new avenues for precision intervention in PE.
Animals ; Female ; Pregnancy ; Mice ; Pre-Eclampsia/genetics* ; Inflammation ; Lipopolysaccharides/adverse effects* ; Disease Models, Animal ; Transcriptome ; Placenta/pathology* ; Phenotype

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

Objective:To compare the clinical and laboratory characteristics and survival between Chinese and Western patients with myelodysplastic neoplasms (MDS) .Methods:Clinical and laboratory data were collected from 1,464 primary adult patients diagnosed with MDS at the Institute of Hematology & Blood Diseases Hospital from August 2016 to June 2024. Collected data were retrospectively analyzed and compared with 2,191 patients from the International Working Group for the Prognosis of Myelodysplastic Syndromes (IWG-PM) .Results:Chinese patients were significantly younger (median age: 56 years vs. 72 years, P<0.001) and experienced more severe hematopenia ( P<0.001) compared with patients from the IWG-PM. Further, Chinese patients exhibited a higher percentage of isolated del (20q), +8, and complex karyotypes as well as a lower percentage of normal karyotypes, del (5q), and -Y ( P<0.001). Higher U2AF1, NRAS, and NPM1 mutation rates and lower ASXL1, SF3B1, and RUNX1 mutation rates were observed in Chinese patients than in participants from the IWG-PM ( P<0.05). No significant difference in overall survival (OS) was found between the two groups (median OS: 48 [95% CI: 40 - 56]months, vs. 45[95% CI: 40 - 49] months; P=0.449). Among participants aged ≤45 years, Chinese patients demonstrated more trisomy 8 ( P=0.070) and U2AF1 mutation ( P<0.001) and higher 4-year OS rate compared with those from the IWG-PM (75.5% vs. 62.1%, P=0.001). Among participants aged ≥70 years, Chinese patients exhibited more complex karyotypes but fewer del (5q) as well as more NPM1 but less SF3B1 and TET2 compared with those from the IWG-PM ( P<0.05). Chinese patients demonstrated shorter survival (median OS: 20 [95% CI: 13 - 27] months vs. 37 [95% CI: 32 - 42] months, P<0.001) . Conclusion:Chinese and Western MDS patients differ in age of onset, clinical features, and cytogenetic or molecular genetic abnormalities, with significant differences persisting in age-matched groups. Although the OS is similar, disparities exist in survival for younger and older patients between the two populations.

Objective:To explore the clinical features and molecular characteristics of myeloproliferative neoplasms (MPNs) patients with NFE2 gene mutations.Methods:Gene targeted sequencing was used to detect NFE2 gene mutation in 723 patients diagnosed with MPNs who were admitted to Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College between April 2021 and June 2023. The association between NFE2 gene mutations and clinical features and molecular characteristics of MPNs patients were retrospectively analyzed.Results:Among 723 patients with MPNs, NFE2 gene mutations were found in 41 cases (5.7%) . NFE2 gene mutations were predominantly frameshift mutations (44.4%) , followed by nonsense mutations (33.3%) . The median number of mutations in patients with NFE2 gene mutations (4 [2,5]) was higher compared to the group without NFE2 gene mutations (2, [1,3]) ( P<0.001) . NFE2 gene mutations frequently co-occurred with mutations in MPL, ATM, PPM1D, and TET1. NFE2 gene mutations were mostly sub-clonal events, with 80.5% occurring after MPNs driver mutations (JAK2, CALR, or MPL) . NFE2 mutations were correlated with older age [median age: 60 (54, 67) years vs 54 (41, 63) years, P=0.001]. Patients with NFE2 gene mutations had a higher incidence of pre-diagnosis thrombosis (39.0% vs 22.0%, P=0.012) and pre-diagnosis arterial thrombosis (36.6% vs 20.4%, P=0.014) . Using a logistic regression analysis model adjusting for age and comorbidities (including chronic infections, malignancies, and autoimmune diseases) , NFE2 gene mutation was identified as an independent determinant of elevated tumor necrosis factor-alpha (TNF-α) ( OR=2.747, 95% CI: 1.143-6.605, P=0.024) , interferon-gamma (IFN-γ) ( OR=2.689, 95% CI: 1.191-6.076, P=0.017) , IL-10 ( OR=3.219, 95% CI: 1.343-7.717, P=0.009) , IL-12P70 ( OR=3.397, 95% CI:1.003-11.508, P=0.049) , IL-17 ( OR=2.284, 95% CI: 1.017-5.127, P=0.045) . In polycythaemia vera (PV) patients with the NFE2 gene mutation, the proportion of those classified as high-risk is notably higher in both the IWG-PV and mutation-enhanced international prognostic systems for PV (MIPSS-PV) (66.7% vs 25.3% for IWG-PV, P=0.033; 22.2% vs 2.0% for MIPSS-PV, P=0.013) . Similarly, for essential thrombocythaemia (ET) patients, the proportion in the high-risk group of the mutation-enhanced international prognostic systems for ET (MIPSS-ET) is significantly higher (15.4% vs 6.1%, P=0.021) . No statistically significant differences were observed in overall survival or cumulative incidence of thrombosis between NFE2-mutated (38 cases) and non-mutated MPNs patients (671 cases, P>0.05) . Conclusion:NFE2 gene mutations in MPNs were predominantly frameshift mutations. NFE2 gene mutations were correlated with older age, elevated levels of several inflammatory factors (including TNF-α、IFN-γ、IL-10、IL-12P70、IL-17) , and they mostly occurred in late-stage of MPNs.

Objective:To investigate the clinical, laboratory, and prognostic features of myelodysplastic neoplasm (MDS) patients harboring acute myeloid leukemia (AML) -like mutations.Methods:We retrospectively analyzed clinical, molecular, and outcome data from 1 464 adults with primary MDS diagnosed at the Institute of Hematology and Blood Diseases Hospital from August 2016 to June 2024.Results:AML-like mutations were detected in 64 patients (4.4% ). Compared with patients without AML-like mutations, those with AML-like mutations were younger [median 50 ( IQR 39–60) vs 56 (45, 65) years; P=0.001], more often female (51.6% vs 35.4% ; P=0.009), had higher bone marrow blast percentage [6.5% (3.0%, 10.5% ) vs 2.5% (1.0%, 7.0% ) ; P<0.001], a higher rate of normal karyotype (75.0% vs 48.1% ; P<0.001), and lower hemoglobin levels [73 (67, 82) g/L vs 80 (66, 98) g/L; P=0.006]. The AML-like group had a higher number of gene mutations than the non-AML-like group [3 ( IQR 2–4) vs 2 (1, 3) ; P<0.001). It was enriched for mutations in NPM1, DNMT3A, WT1, PTPN11, NRAS, BCOR, FLT3, CEBPA, and MYC (all P<0.05) and had lower rates of U2AF1, ASXL1, and TP53 mutations (all P<0.05). Overall survival (OS) did not differ between groups ( P=0.730) ; however, the AML-like group had significantly shorter leukemia-free survival (LFS) [19 months (95% CI: 13–25) vs 46 months (95% CI: 38–54) ; P=0.012] and a higher 2-year cumulative incidence of AML transformation [ (41.7±9.1) % vs (10.4±1.1) % ; P<0.001]. Within the AML-like group, OS, LFS, and cumulative incidence of AML transformation did not differ between patients with low blasts and those with excess blasts (IB). Multivariable Cox regression identified age ≥60 years and PTPN11 mutations as independent adverse prognostic factors for OS, while DNMT3A, PTPN11, and FLT3 mutations independently predicted leukemic transformation. Conclusions:MDS patients harboring AML-like mutations exhibit distinct clinical and molecular features and a higher risk of progression to AML.

Objective:To explore the effect of multiple modified process management intervention on cardiac func-tion,psychological state,stress level,sleep quality and adverse events in patients with severe coronary atherosclerot-ic heart disease(CHD).Methods:This randomized controlled study enrolled 130 severe CHD patients who were treated in Affiliated Beijing Shijitan Hospital of Capital Medical University between January 2020 and May 2023.Patients were randomly divided into control group(n=65)and intervention group(n=65).Patients in the control group were treated with routine management intervention,while those in the intervention group were given addi-tional multiple modified process management interventions.Both groups were intervened for 4 weeks.Cardiac func-tion,levels of norepinephrine(NE)and cortisol(COR),scores of Self-rating Anxiety Scale(SAS),Self-rating Depression Scale(SDS),General Comfort Questionnaire(GCQ),Pittsburgh Sleep Quality Index(PSQI),and the incidence of adverse events during intervention were compared between the two groups.Results:Compared to those in control group after intervention,patients in intervention group had significant higher left ventricular ejection fraction(LVEF)[(57.81±2.15)％vs.(50.11±2.99)％]and GCQ score[(95.88±5.37)points vs.(75.81±6.67)points](P＜0.001 all),and significant lower left ventricular end-diastolic volume(LVEDV)[(109.81±5.37)ml vs.(129.26±5.17)ml],left ventricular end-systolic volume(LVESV)[(50.85±3.08)ml vs.(66.02±3.77)ml],levels of NE[(61.56±5.49)pg/ml vs.(69.86±5.03)pg/ml],COR[(85.63±5.19)ng/ml vs.(92.28±6.57)ng/ml],scores of SAS[(30.06±5.19)points vs.(49.51±5.85)points],SDS[(31.86±4.51)points vs.(40.00±5.10)points]and PSQI[(8.72±1.58)points vs.(13.89±2.40)points],and incidence of ad-verse events(4.69％vs.23.44％)(P＜0.01 all).Conclusion:The multiple modified process management interven-tion may improve the cardiac function,adverse psychological state,stress level,sleep quality and reduce the inci-dence of adverse events in patients with severe CHD.

Objective To explore the feasibility and corresponding implementation methods of constructing a sample resource bank based on individual-level data of completed clinical trials and using it to construct external controls for drug/device clinical trials.Methods Taking the pre-marketing clinical trial of transcatheter active valve replacement(TAVR)for the treatment of aortic valve stenosis as an example,the individual-level databases of multiple trials were standardized to form a sample bank.The original data of any trial in the sample bank were selected as the experimental group,and the remaining samples were selected as the control group.The potential confounding was handled by using the propensity score matching and stratification methods to clarify the process of constructing external controls based on the sample bank of individual-level data of clinical trials.Results This study included individual-level data of single-group trials of 4 TAVR devices,with a total of 569 subjects(59.2%male).The number of subjects in Trials 1 to 4 was 120,120,163,and 166,respectively.Propensity score matching enabled the matching of 113,117,125,and 147 subjects with comparable or similar characteristics from individual-level data from other trials,respectively,demonstrating a high matching success rate.The PS score distribution plot after stratification showed that the proportions of subjects in the experimental and control groups in strata 1 to 5 in scheme 1 were 4/103,11/103,22/92,32/87,and 51/64,respectively.For all constructed external controlled trials,a certain number of control samples with similar baseline characteristics to the experimental groups were distributed within each propensity score stratum.The results of the simulation test also reflected the potential differences between different devices in the 12-month all-cause mortality rate.Conclusions The sample bank constructed with individual-level data from clinical trials,as a high-quality data source,can serve as a source of external control for single-arm trials in the same field,and as a useful supplement to the external control scenario of real-world evidence to support drug and device development.At the same time,targeted research on research methods and bias control measures in related fields is also needed.

ObjectiveTo analyze the epidemiological and clinical characteristics of pertussis in Baoshan District, Shanghai from 2017 to 2024, so as to provide an evidence-based reference for optimizing prevention and control strategies. MethodsData on pertussis cases were collected from the China Disease Prevention and Control Information System, Shanghai Integrated Management and Immunization Service Information System, and follow-up epidemiological investigations. Descriptive epidemiological analyses were performed to analyze the epidemiological characteristics, clinical manifestations, and vaccine effectiveness. Joinpoint regression analyses were used to examine the temporal trends in incidence rates, and a Poisson model was constructed for spatiotemporal scan analyses. ResultsA total of 1 634 pertussis cases were reported in Baoshan District from 2017 to 2024, with a male-to-female ratio of 1.08∶1. More cases were observed in males than in females, with the age ranged from 20 days to 81 years. Among them, 59.92% were in the 6‒<11 years age group, and 63.34% were students. Low-level sporadic incidence persisted during 2017‒2023, followed by a sharp increase in 2024 (71.37/100 000). Starting in January 2024, the incidence rate showed an upward trend, peaking in May before declining. The majority of cases occurred between April and June. The trend in reported pertussis incidence rates in Baoshan District from 2017 to 2023 showed no statistically significant change (APC=10.039%, t=2.586, P=0.150). Incidence rate rose from January 2024, peaked in May (APC=133.641%, t=3.841, P=0.006), then declined significantly (APC=-47.816%, t=2.586, P<0.001). The 12 subdistricts of Baoshan District were divided into low, medium, and high population density areas, with an average annual reported incidence rate of 6.09/100 000, 8.19/100 000 and 11.96/100 000, respectively. The reported incidence rate increased with an increase in population density. Spatiotemporal scan analyses showed that cases clustered in the southwest and northeast of Baoshan District. Epidemiological follow-up investigations of 1 520 cases revealed that the main clinical symptoms were cough (97.63%) and sputum production (41.58%), and 98.13% of the cases were confirmed by positive nucleic-acid test results. Among the 1 475 cases with immunization records, 83.53% had completed the four-dose pertussis vaccine before onset. The complication incidence rates, from high to low, were in the 0-dose vaccination group, 1‒3-dose vaccination group and 4-dose vaccination group. The duration of cough, from long to short, was observed in the the 0-dose vaccination group, 1‒3-dose vaccination group and 4-dose vaccination group, correspondingly. ConclusionIt is recommended to improve the pertussis surveillance system in medical institutions and establish an active monitoring network, prioritizing deployment in school settings and areas with high population density. Enhancing diphtheria-tetanus-pertussis (DTP) vaccination coverage among 6-year-old children and further optimizing the pertussis immunization strategies are essential to prevent and reduce the risk of pertussis among school-aged children.

The aim of this study was to understand the internal genetic diversity and population history dynamics of ticks in Inner Mongolia,to provide data for designing effective vector control programs and revealing ticks'transmission mechanisms.From 2022 to 2023,the manual collection method was used to collect samples in Inner Mongolia.The 16S rDNA and COI gene sequences of ticks were used to identify Hyalomma marginatum,Haemaphysalis concinna,and Argas persicus,and analyze the sequence characteristics and genetic diversity within the populations.Base composition analysis indicated that the average A+T content of the 16S rDNA gene and CO I gene in the three ticks was significantly higher than that of C+G.Moreover,22 haplotypes of the COI gene and 12 haplotypes of the 16S rDNA sequence were identified in Hyalomma marginatum.Eleven haplotypes were identified according to the COI gene,and nine haplotypes were identified according to the16S rDNA sequence of Haemaphysalis concinna.Two haplotypes were identified on the basis of the COI gene,and six haplotypes were identified on the basis of the 16S rDNA sequence of Ar gas persicus.The minimum 16S rDNA haplotype diversity was 0.264 for Ar gas persicus and 0.579 for the other two species.The nucleotide diversity of the three tick species was less than 0.05.Tajima's val-ue and Fu's Fs value of the neutrality test were negative.Base saturation substitution analysis indicated that neither of the two genes in the three tick species reached saturation.The phylogenetic tree revealed that Hyalomma marginatum,Haema physalis concinna,and Ar gas persicus in Inner Mongolia independently aggregated into branches.In conclusion,the base content of Hyalomma marginatum,Haemaphysalis concinna,and Argas persicus genes in Inner Mongolia was consist-ent with the characteristics of insect mitochondrial DNA content.Furthermore,the three tick populations showed rapid evolu-tionary population expansion,and the phylogeny of three tick species showed independent aggregation into clades,with no pop-ulation isolation.