OBJECTIVE: To develop a user-friendly visualization application for the automatic annotation of Human Phenotype Ontology (HPO) terms based on large language models and retrieval-augmented generation (RAG) technology, and to validate its performance in an authoritative case dataset. METHODS: By integrating the domestic open-source large language model DeepSeek-V3 with RAG technology, an interactive web application was deployed on the Streamlit cloud platform. Using only the latest official HPO dataset as the data source, the lightweight sentence-embedding model BAAI/bge-small-en-v1.5 was employed to construct a FAISS vector index. During the online phase, a four-step closed-loop process is automatically completed: multilingual translation, phenotype phrase extraction, RAG candidate retrieval, term mapping, and official database validation. 121 English case reports publicly released by BMJ Case Reports and Oxford Medical Case Reports (with a gold-standard HPO set of 1 794 terms) were selected for application validation. Precision, recall, and F1 score were calculated and compared horizontally with traditional dictionary tools, standalone large language models, and the similar application "RAG-HPO". Finally, replace the model with the more advanced ChatGPT-5 and evaluate its performance on the newly extracted dataset. RESULTS: An HPO term automatic annotation visualization application named PhenoRAG, based on large language models and RAG technology, was successfully developed. Users can access it directly via a web link. Across the 112 cases, a total of 2 150 HPO terms were generated; 2,064 (96.0%) were fully validated by the official database, with a hallucination rate of 1.3% and an HPO ID-name mismatch rate of 2.7%. After deduplication, 1,906 terms remained for testing. The overall precision was 63.65%, recall was 67.34%, and F1 was 65.44%, significantly outperforming traditional annotation tools (F1: 0.45-0.49, P < 0.001). Although PhenoRAG's F1 was lower than that of RAG-HPO (F1 = 0.78, P < 0.001), which relies on a manually constructed synonym database of 54 000 entries plus the HPO dataset, it requires no additional dictionary maintenance and can be used without any background in computer programming. Moreover, after switching to the GPT-5 model, PhenoRAG exhibited no hallucination rate on the new dataset, and its F1 score significantly increased (P = 0.038). CONCLUSION Without constructing a synonym database, the PhenoRAG achieved high-accuracy automatic mapping from clinical text to standard HPO terms. It features a low usage threshold, free access, and a Chinese-language interface, and can directly serve rare disease diagnosis, genetic counseling, and research scenarios in China and worldwide, warranting further clinical promotion and multicenter validation.
Humans ; Phenotype ; Biological Ontologies ; Language ; Software ; Large Language Models

Objective: Whether elevation in plasma levels of amyloid and tau protein biomarkers are better indicators of cognitive decline than higher baseline levels in patients with amnestic mild cognitive impairment (aMCI) and Alzheimer’s disease (AD) remains understudied. Methods: We included 67 participants with twice testing for AD-related plasma biomarkers via immunomagnetic reduction (IMR) assays (amyloid beta [Aβ]1-40, Aβ1-42, total tau [t-Tau], phosphorylated tau [p-Tau] 181, and alpha-synuclein [α-Syn]) and the Mini-Mental State Examination (MMSE) over a 1-year interval. We examined the correlation between biomarker levels (baseline vs. longitudinal change) and annual changes in the MMSE scores. Receiver operating characteristic curve analysis was conducted to compare the biomarkers. Results: After adjustment, faster cognitive decline was correlated with lower baseline levels of t-Tau (β=0.332, p=0.030) and p-Tau 181 (β=0.369, p=0.015) and rapid elevation of t-Tau (β=-0.330, p=0.030) and p-Tau 181 levels (β=-0.431, p=0.004). However, the levels (baseline and longitudinal changes) of Aβ1-40, Aβ1-42, and α-Syn were not correlated with cognitive decline. aMCI converters had lower baseline levels of p-Tau 181 (p=0.002) but larger annual changes (p=0.001) than aMCI non-converters. The change in p-Tau 181 levels showed better discriminatory capacity than the change in t-Tau levels in terms of identifying AD conversion in patients with aMCI, with an area under curve of 86.7% versus 72.2%. Conclusion We found changes in p-Tau 181 levels may be a suitable biomarker for identifying AD conversion.

Objective To investigate the clinical efficacy of intracardiac echocardiography(ICE)guid-ance in transcatheter closure of latent patent foramen ovale(PFO)among divers.Methods From Jan 2023 to Nov 2024,36 young divers with PFO,who only had right-to-left shunt during Valsalva maneuver on right heart contrast echocardiography,were enrolled from No.971 Hospital of the PLA Navy.They were divided into ICE group and transthoracic echocardiography(TTE)group based on intraoperative imaging.Clinical data including baseline characteristics,echocardiographic findings,complications,procedure time,and radiation dose were recorded.Results All 36 patients(19 in TTE group and 17 in ICE group)had 100％immediate closure success rate.No vascular complications,postoperative pericardial effusion,device displacement or embolism occurred.ICE could guide wire passage through foramen ovale,significantly reducing total procedure time,fluoroscopy time,and radia-tion dose(P<0.05).Conclusion ICE enables precise closure of potent PFO in divers and decreases fluoroscopy time and radiation dose,showing significant clinical value.

Objective To analyze the target,signal pathway and potential mechanism of Banxia Baizhu Tianma Decoction in the treatment of epilepsy based on network pharmacology,and to verify it by molecular docking technology and animal experiments.Methods The active ingredients and drug targets of Banxia Baizhu Tianma Decoction were screened by BATMAN and other databases.The targets of epilepsy-related diseases were obtained by GeneCards and other databases,and the intersection targets were taken.Constructing'drug-ingredient-target-disease'network and PPI network to screen the core targets.The core active ingredients were screened according to GO,KEGG functional enrichment analysis and'pathway-target-active ingredient'network.Molecular docking was used to verify the core targets and core active ingredients.In the animal experiment,the rat model of epilepsy was induced by lithium chloride-pilocarpine,and 40 Wistar rats were divided into normal control group,model control group,carbamazepine group and Banxia Baizhu Tianma Decoction group.The seizures were observed by behavior.Nissl staining was used to observe neuronal damage in hippocampus.Immunohistochemistry was used to detect the expression of BAX,BCL-2 and Caspase-3 protein.Results A total of 1072 targets of Banxia Baizhu Tianma Decoction were screened,1046 disease targets of epilepsy were screened,and 220 intersection targets of Banxia Baizhu Tianma Decoction in the treatment of epilepsy were screened.The core targets AKT1,ALB,ACTB,INS and TNF of PPI network were obtained.KEGG pathway mainly involves TNF signaling pathway,IL-17 signaling pathway,cAMP signaling pathway,pathways of neurodegeneration-multiple diseases,serotonergic synapse and Dopaminergic synapse.The core active ingredients with the highest correlation in the'pathway-target-active component'network were Betulin,Ephedrine,Ergotamine and Thymol.Results of molecular docking indicated that the core target had satisfactory affinity with those active ingredients.Animal experiments showed that Banxia Baizhu Tianma Decoction could effectively reduce epileptic seizures in rats,improve hippocampal neuronal damage in rats,significantly reduce the percentage of neuronal apoptosis,significantly down-regulate the expression of pro-apoptotic proteins BAX and Caspase-3,and up-regulate the expression of anti-apoptotic protein BCL-2.Conclusion Banxia Baizhu Tianma Decoction has the characteristics of multi-component,multi-target and multi-pathway in the treatment of epilepsy.Inhibiting neuronal apoptosis and reducing hippocampal neuronal damage may be one of the important mechanisms for its treatment of epilepsy.

Objective To analyze the target,signal pathway and potential mechanism of Banxia Baizhu Tianma Decoction in the treatment of epilepsy based on network pharmacology,and to verify it by molecular docking technology and animal experiments.Methods The active ingredients and drug targets of Banxia Baizhu Tianma Decoction were screened by BATMAN and other databases.The targets of epilepsy-related diseases were obtained by GeneCards and other databases,and the intersection targets were taken.Constructing'drug-ingredient-target-disease'network and PPI network to screen the core targets.The core active ingredients were screened according to GO,KEGG functional enrichment analysis and'pathway-target-active ingredient'network.Molecular docking was used to verify the core targets and core active ingredients.In the animal experiment,the rat model of epilepsy was induced by lithium chloride-pilocarpine,and 40 Wistar rats were divided into normal control group,model control group,carbamazepine group and Banxia Baizhu Tianma Decoction group.The seizures were observed by behavior.Nissl staining was used to observe neuronal damage in hippocampus.Immunohistochemistry was used to detect the expression of BAX,BCL-2 and Caspase-3 protein.Results A total of 1072 targets of Banxia Baizhu Tianma Decoction were screened,1046 disease targets of epilepsy were screened,and 220 intersection targets of Banxia Baizhu Tianma Decoction in the treatment of epilepsy were screened.The core targets AKT1,ALB,ACTB,INS and TNF of PPI network were obtained.KEGG pathway mainly involves TNF signaling pathway,IL-17 signaling pathway,cAMP signaling pathway,pathways of neurodegeneration-multiple diseases,serotonergic synapse and Dopaminergic synapse.The core active ingredients with the highest correlation in the'pathway-target-active component'network were Betulin,Ephedrine,Ergotamine and Thymol.Results of molecular docking indicated that the core target had satisfactory affinity with those active ingredients.Animal experiments showed that Banxia Baizhu Tianma Decoction could effectively reduce epileptic seizures in rats,improve hippocampal neuronal damage in rats,significantly reduce the percentage of neuronal apoptosis,significantly down-regulate the expression of pro-apoptotic proteins BAX and Caspase-3,and up-regulate the expression of anti-apoptotic protein BCL-2.Conclusion Banxia Baizhu Tianma Decoction has the characteristics of multi-component,multi-target and multi-pathway in the treatment of epilepsy.Inhibiting neuronal apoptosis and reducing hippocampal neuronal damage may be one of the important mechanisms for its treatment of epilepsy.

Recent studies have shown that the physiological homeostasis of oral mucosal cells is regulated by the circadian clock.Dis-ruption or dysfunction of the circadian clock is closely associated with the development of oral squamous cell carcinoma(OSCC).Research based on the circadian clock offers a novel perspective on the pathogenesis and therapeutic strategies for OSCC.However,there is current-ly limited research on this topic,and people generally have insufficient understanding and recognition of the circadian clock.Given the complexity and challenges of circadian clock which is the fourth dimension of medical research,we organize relevant experts based on summarizing the current research results of circadian clock in the pathogenesis and precision diagnosis and treatment of OSCC,combining the scientific principles of the circadian clock's role and their long-term research experience,then summarizes and recommends the con-sensus opinions for the research of circadian clock in the pathogenesis mechanism and precision diagnosis and treatment of human OSCC,with the hope of providing guidance for the basic research and clinical application of circadian clock or circadian rhythm in the pathogene-sis mechanism and precision diagnosis and treatment of oral and maxillofacial squamous cell carcinoma.

Objective:To construct a quality analysis model by combining the strengths-weaknesses-opportunities-threats(SWOT)analysis method and analytic hierarchy process(AHP),and to explore its application value in the quality management for operation of first aid equipment of hospital.Methods:The advantages,disadvantages,opportunities and threats of management for equipment were analyzed according to SWOT model,and the operation quality of equipment was positioning analyzed by AHP,and comprehensive management countermeasures were formulated from the aspects of personnel,system,preventive maintenance,information management and cooperation between institutes and enterprises.A total of 215 first aid equipment in clinical use in Qilu Hospital of Shandong University from January 2021 to December 2024 were selected.In these equipment,171 equipment from January 2021 to December 2022 were managed by using the conventional management mode,and 195 equipment(including 151 using equipment under the conventional management mode and 44 newly added equipment)from January 2023 to December 2024 were managed by using the strategic management mode with quality analysis model.The operation quality and management level of the two management modes for the equipment were compared.A self-made survey questionnaire was used to investigate the satisfaction scores of nurses of operating equipment,doctors of clinical department,medical engineers and administrators for the service effects of equipment under the two management modes,who use and manage the first aid equipment in hospital.Results:The average failure rate,risk rate,alarm rate and unqualified rate of first aid equipment in hospitals,which adopted the strategic management mode,were respectively(0.72±0.42)%,(1.08±0.70)%,(1.18±0.48)%and(1.33±0.63)%,all of which were lower than those of the conventional management mode,and the differences were statistically significant(t=3.629,2.792,2.179,2.396,P<0.05).The management level scores of monitors,ventilators,defibrillators,high-frequency electrosurgical knives and other first aid equipment,which adopted the strategic management mode,were respectively(94.69±1.68),(95.84±2.52),(95.38±2.85),(95.69±2.02)and(94.17±4.89)points,all of which were higher than those of the conventional management mode,and the differences were statistically significant(t=4.797,2.403,2.390,3.825,2.196,P<0.05).The satisfaction scores of nurses of operating equipment,doctors of clinical department,medical engineers and administrators for first aid equipment of adopting strategic management mode were all higher than those of adopting conventional management mode,and the difference were statistically significant(t=3.666,3.336,4.275,4.292,P<0.05).Conclusion:The quality analysis model of first aid equipment of hospital can improve the operation quality and management level of first aid equipment,and reduce the equipment's failure rate and the unqualified rate of quality inspection,and improve the service effect of first aid equipment.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To summarize the operation techniques and experience of arthroscopic"pie-crustiong"release for patellofemoral joint hypertension.Methods From August 2021 to April 2023,67 patients(75 knees)suffered from isolated patellofemoral compression syndrome.The lateral retinacular of knees were arthroscopic released by pie crusting technique.All knees were assessed by AKS and Kujala scores.Results The follow-up period ranged from 3 to 18 months.All patients had good wound healing without infection,joint hematosis,fluid accumulation,and limited movement.AKS score of knee joint was(44.88±5.49)points before surgery and(69.57±4.64)points 3 months after surgery.Kujala score was(47.08±6.28)points before surgery and(68.75±4.47)points 3 months after surgery.The Vas score was(2.81±0.67)points before surgery and(0.85±0.65)points 3 months after surgery.The AKS,Kujala and Vas scores of knee joint after treatment were higher than those before treatment,and the differences were statistically significant(P＜0.05).Conclusion The treatment of arthroscopic"pie-crusting"technique can improve the patellar joint matching degree,relieve pain and improve quality of life.

Objective·To observe the impact of hip synovitis on the long-term outcomes of free vascularized fibular grafting(FVFG)for osteonecrosis of femoral head(ONFH).Methods·Between October 2001 and December 2013,370 patients diagnosed with ONFH(556 hips)underwent FVFG.Preoperative synovitis was assessed using magnetic resonance imaging(MRI)and quantified with the Hip Inflammation MRI Scoring System(HIMRISS).Patients were divided into no synovitis group,moderate synovitis group,and severe synovitis group.Harris hip scores and the incidence of total hip arthroplasty were collected with an average follow-up duration of 90.5 months(range:5-215 months).Hip survival failure(defined as a Harris hip score lower than 80 at the final follow-up or the occurrence of total hip arthroplasty)was calculated.Multivariable Cox regression analysis was adopted to compare the influence of different degrees of synovial inflammation on long-term prognosis.Results·The proportion of hip survival failure was 28.0％in patients without synovitis and 28.5％in those with moderate synovitis,whereas it was significantly higher(60.4％)in patients with severe synovitis.The results of multivariable Cox regression analysis showed that severe synovitis was an independent risk factor for poor prognosis(HR 2.06,95％CI 1.21-3.53)after adjusting for age,gender,education level,marital status,ONFH type,affected side of ONFH,smoking history,baseline Harris hip score and other hip MRI-based covariates(collapse,bone marrow edema,and degeneration).Conclusion·Severe synovitis in patients with ONFH significantly increases the failure rate of hip preservation after FVFG,and the severity of synovitis should be considered in surgical decision-making.