In the context of the digital-intelligent era of traditional Chinese medicine （TCM）， the lack of clinical thinking is a pressing issue that limits the overall effectiveness of TCM and talent cultivation. The "disease-pulse-syndrome-treatment differentiation" thinking model， originally developed by ZHANG Zhongjing in the Treatise on Cold Damage and Miscellaneous Diseases （Shang Han Za Bing Lun）， has served as a guideline and paradigm followed by generations of medical practitioners. This study aims to construct a digitalized "disease-pulse-syndrome-treatment differentiation" thinking system， develop a digital assessment system， and implement it for practical application. The goal is to recommend a digitalized assessment model for TCM and provide a reference for the integrated innovation of talent cultivation in medicine， education， and research. First， based on the complex diagnostic and treatment framework of the Treatise on Cold Damage Diseases （Shang Han Lun）， the research team previously established a "process" + "result" thinking model that included four processes and ten steps. This study integrates knowledge unit theory and digital technology to create a digital system for "disease-pulse-syndrome-treatment differentiation" with a dual-control model of "process control" and "result control". The system consists of 46 items across three categories： knowledge body （W=20%）， knowledge element （W=30%）， and knowledge element associations （W=50%）. Second， a mixed-methods research design was employed， combining qualitative and quantitative approaches. The Delphi method was used to establish hierarchical levels and screen items， while the analytic hierarchy process （AHP） was used to assign weights. Expert surveys were conducted to reach a consensus and further validate the rationale and necessity of the system. Finally， based on the system architecture and integrating key computer technologies， a digital assessment system for "disease-pulse-syndrome-treatment differentiation" was developed. The Treatise on Cold Damage Diseases （Shang Han Lun） was used as a case study to validate the system's feasibility. Statistical results showed that the difficulty level of the assessment question bank was moderate （DL ranging from 0.65 to 0.89）， with good discrimination （D>0.4）， and reasonable reliability and validity （Cronbach's α=0.84， KMO=0.72， Bartlett's test P<0.01）. The system can perform process-oriented evaluations of candidates' thinking in "disease-pulse-syndrome-treatment differentiation" and effectively achieve the goal of clinical thinking assessment through a combination of "process control" and "result control". The examination system offers three major advantages. It standardizes， objectifies， and streamlines the assessment of thought processes， facilitates the organic transformation of TCM education from outcome-based education to thinking-based education， and from exam-oriented education to competency-oriented education， and promotes the practical transformation of TCM assessments from qualitative to quantitative evaluation， as well as from theory to practice. In summary， this system not only represents a technological upgrade to traditional examinations but also empowers the cultivation and assessment of clinical talent in the digital-intelligent era， demonstrating broad application prospects.

Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. With their exceptional long-context reasoning capabilities, LLMs are proficient in clinically relevant tasks, particularly in medical text analysis and interactive dialogue. They can enhance diagnostic accuracy by processing vast amounts of patient data and medical literature and have demonstrated their utility in diagnosing common diseases and facilitating the identification of rare diseases by recognizing subtle patterns in symptoms and test results. Building on their image-recognition abilities, multimodal LLMs (MLLMs) show promising potential for diagnosis based on radiography, chest computed tomography (CT), electrocardiography (ECG), and common pathological images. These models can also assist in treatment planning by suggesting evidence-based interventions and improving clinical decision support systems through integrated analysis of patient records. Despite these promising developments, significant challenges persist regarding the use of LLMs in medicine, including concerns regarding algorithmic bias, the potential for hallucinations, and the need for rigorous clinical validation. Ethical considerations also underscore the importance of maintaining the function of supervision in clinical practice. This paper highlights the rapid advancements in research on the diagnostic and therapeutic applications of LLMs across different medical disciplines and emphasizes the importance of policymaking, ethical supervision, and multidisciplinary collaboration in promoting more effective and safer clinical applications of LLMs. Future directions include the integration of proprietary clinical knowledge, the investigation of open-source and customized models, and the evaluation of real-time effects in clinical diagnosis and treatment practices.
Humans ; Large Language Models ; Tomography, X-Ray Computed

Objective:To analyze the clinical characteristics of the Chikungunya fever outbreak in Shunde District, Foshan City, Guangdong Province in July 2025 and the risk factors associated with delayed viral RNA clearance.Methods:A total of 562 patients with Chikungunya fever admitted to three designated hospitals in Shunde District from July 10 to 30, 2025 were enrolled. Demographic data, clinical manifestations, and laboratory findings were collected. Patients were categorized into four age groups including minors (<18 years), young adults (18 to 39 years), middle-aged adults (40 to 64 years) and elderly adults (≥65 years). The differences of clinical characteristics among these age groups were analyzed. Intergroup comparisons were performed using chi-square test, one-way analysis of variance, or Kruskal-Wallis H test. Pairwise comparisons between groups were conducted using the Bonferroni or Games-Howell or Dunn method. Binary logistic regression was employed to analyze risk factors associated with delayed viral RNA clearance (>7 days). Results:The mean age of the 562 enrolled Chikungunya fever patients was (44.8±21.3) years. Fever, arthralgia and rash were the three core symptoms, with incidence rates of 87.5% (492/562), 88.4%(497/562) and 69.6%(391/562), respectively. At discharge, only 54.1%(304/562) of patients achieved complete symptom resolution, while 26.5%(149/562) still had arthralgia and 36.1%(203/562) had residual rash. Significant differences were observed among age groups in the incidence of fever ( χ2=9.43, P=0.024), peak body temperature ( F=6.54, P<0.001), incidence of arthralgia ( χ2=26.89, P<0.001), duration of arthralgia ( F=12.68, P=0.001), incidence of rash ( χ2=68.99, P<0.001), rate of residual rash at discharge ( χ2=32.37, P<0.001), lymphocyte count ( F=12.94, P<0.001), platelet count ( F=14.95, P<0.001), and C-reactive protein levels (CRP) ( H=94.18, P<0.001). Further pairwise comparisons revealed that compared to the middle-aged and elderly groups, the minor group had a higher incidence of fever and a lower incidence of arthralgia, and the duration of arthralgia was shorter than the elderly group (all P<0.008 3). Compared with the other three groups, the elderly group had lower incidence and residual rate of rash, and lower platelet counts (all P<0.008 3), and higher levels of CRP (all P<0.05). The elderly group had lower lymphocyte counts compared to the minor and young adult groups (both P<0.05). Significant differences were found among age groups in the time to viral RNA clearance ( F=5.77, P=0.003) and length of hospital stay ( F=11.64, P<0.001), with the elderly group having significantly longer duration for both compared to the other three groups (all P<0.05). Multivariate analysis showed that advanced age (odds ratio ( OR)=1.049, 95% confidence interval ( CI) 1.015 to 1.083), longer duration of fever ( OR=1.529, 95% CI 1.086 to 2.155) and longer duration of arthralgia ( OR=1.927, 95% CI 1.318 to 2.817) were independent risk factors for delayed viral RNA clearance (all P<0.05). Conclusions:Patients with Chikungunya fever in Shunde District primarily present with fever, arthralgia and rash. The incidence and characteristics of these three core symptoms show age-related variations. Elderly patients and those with longer durations of fever or arthralgia are more likely to experience delayed viral clearance.

Objective:To investigate the therapeutic effectiveness of double-anatomical plate-assisted reconstruction of a stable triangle in the treatment of chronic distal humerus fractures.Methods:A retrospective analysis was performed on the medical records of 10 patients with distal humerus fracture treated with double plate assisted reconstruction of a stable triangle from August 2021 to December 2024. All patients were followed up for more than 6 months. The cohort included 9 males and 1 female, with a mean age of 54.75±15.15 years (range, 31-73 years). Causes of injury: 4 cases of slip, 2 cases of high-energy fall, 3 cases of traffic accident, and 1 case of crush injury. According to the AO/OTA classification, all fractures were type C3, including 4 cases of C3.3 and 6 cases of C3.2. The operation duration, intraoperative blood loss, and length of hospital stay were recorded. Follow-up evaluations were conducted at 1, 3, and 6 months postoperatively and at the final follow-up. Radiographs were obtained to assess fracture reduction, healing, and implant positioning. Functional outcomes of the elbow were assessed using carrying angle, humeral condyle anteversion angle, modified trochleocapitellar index (mTCI), range of motion (ROM), visual analogue scale (VAS) for pain, Mayo elbow performance score (MEPS), and complication rates.Results:All 10 patients successfully completed the operation, with an average operation time of 221.75±48.73 min (range, 165-310 min), an average intraoperative blood loss of 462.50±215.05 ml (range 150-800 ml). 4 patients received blood transfusion. The average hospital stay was 10.75±2.55 d (range 6-14 d). The average carrying angle of 171.50°±5.37° (range 165°-179°) and the anterior angle of humeral condyle 39.75°±3.96° (range 34°-45°) were all within the standard range. At least one index in the mTCI was within the optimal range at the last follow-up. All patients were followed up with an average follow-up of 10.75±5.73 months (range 6-22 months). All 10 patients were healed after surgery with an average healing time of 4.75±2.05 months (range 3-9 months). At the final follow-up, the average elbow ROM was 93.75°±25.88° (range, 50°-115°), internal rotation was 83.13°±9.61° (range, 60°-90°), and external rotation was 88.13°±3.72° (range, 80°-90°). The mean VAS score was 0.63±0.92 (range, 0-2), and the average MEPS was 88.75±11.57 (range, 70-100), with 4 excellent, 4 good, and 2 fair outcomes, an excellent and good rate of 80%. Complications included one case of periarticular osteophyte formation, one case of transient ulnar nerve numbness that improved with conservative treatment, and three cases of occasional mild pain following increased activity. Conclusion Double-anatomical plate-assisted reconstruction of a stable triangle provides effective and stable fixation for chronic AO/OTA C3 distal humerus fractures. The short-term postoperative outcomes are satisfactory, with good functional recovery and a low complication rate.Conclusions:Double-anatomical plate-assisted reconstruction of a stable triangle provides effective and stable fixation for chronic AO/OTA C3 distal humerus fractures. The short-term postoperative outcomes are satisfactory, with good functional recovery and a low complication rate.

Objective:To optimize the scan parameters for ultra-low dose computed tomography (ULDCT) of the chest using spectral purification technology, and assess the feasibility of maintaining image quality while reducing radiation dosage.Methods:An anthropomorphic chest phantom embedded with simulated pulmonary nodules was utilized for low-dose computed tomography(LDCT) and ULDCT scans. LDCT was conducted using a reference tube current of 25 mAs and a pitch of 1.0. ULDCT incorporating spectral purification technology was conducted using four reference tube currents, i. e., 50, 100, 150, and 200 mAs (labeled ULDCT1-4), and a pitch of 1.5. Other parameters were consistent. The volume CT dose index and the dose-length product were extracted from the dose reports, and then the effective doses were calculated. The objective image quality was assessed using metrics including image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). The subjective image quality of ULDCT images was assessed on a four-point scale with LDCT images as reference.Results:The ULDCT4 at a reference tube current of 200 mAs showed a lower effective dose compared to LDCT ( t = -17.30, P < 0.001). The objective image quality assessments indicated that noise levels in four ULDCT groups were higher than those in LDCT ( t = 21.96, 10.56, 3.15, 3.14, P < 0.05). Notably, the SNR and CNR for the aortic arch were higher in ULDCT4 compared to LDCT ( t = 3.55, 71.96, P < 0.05). The SNR of pulmonary nodules in ULDCT4 was comparable to that in LDCT ( P > 0.05), but the CNR was higher ( t = 0.79, P < 0.001). Subjective image quality assessments reveal that the image quality of ULDCT4 was higher than that of LDCT, with scores of 3.80±0.46 for noise, 3.70±0.46 for contrast and sharpness, and 3.37±0.66 for pulmonary nodules. Conclusions:ULDCT (200 mAs) using spectral purification technology can yield higher image quality than LDCT while substantially reducing the radiation dose, thus demonstrating substantial clinical potential and the promise of replacing LDCT in early lung cancer screening.

Fermented traditional Chinese medicine(TCM) has a long history of medicinal use, such as Sojae Semen Praeparatum, Arisaema Cum Bile, Pinelliae Rhizoma Fermentata, red yeast rice, and Jianqu. Fermentation technology was recorded in the earliest TCM work, Shen Nong's Classic of the Materia Medica. Microorganisms are essential components of the fermentation process. However, the contamination of fermented TCM by toxigenic fungi and mycotoxins due to unstandardized fermentation processes seriously affects the quality of TCM and poses a threat to the life and health of consumers. In this paper, the characteristics, microbial composition, and mycotoxin profile of fermented TCM are systematically summarized to provide a theoretical basis for its quality and safety control.
Fermentation ; Mycotoxins/analysis* ; Drugs, Chinese Herbal/analysis* ; Fungi/classification* ; Bacteria/genetics* ; Drug Contamination ; Medicine, Chinese Traditional

To clarify the species, pathogenicity, and distribution of the pathogens causing the root rot of Atractylodes lancea in Hubei province, the tissue separation method was used to isolate the pathogens from root rot samples in the main planting areas of A. lancea in Hubei. Based on the preliminary identification of the Fusarium genus by the internal transcribed spacer(ITS) sequence, three housekeeping genes, EF1/EF2, Btu-F-FO1/Btu-F-RO1, and FF1/FR1, were amplified and sequenced. Subsequently, a phylogenetic tree was constructed based on these TEF gene sequences to classify the pathogens. The pathogenicity of these strains was determined using the root irrigation method. A total of 194 pathogen strains were isolated using the tissue separation method. Molecular identification using the three housekeeping genes identified the pathogens as F. solani, F. oxysporum, F. commune, F. equiseti, F. tricinctum, F. redolens, F. fujikuroi, F. avenaceum, F. acuminatum, and F. incarnatum. Among them, F. solani and F. oxysporum were the dominant strains, widely distributed in multiple regions, with F. solani accounting for approximately 54% of the total isolated strains and F. oxysporum accounting for approximately 34%. Other strains accounted for a relatively small proportion, totaling approximately 12%. The results of pathogenicity determination showed that there were certain differences in pathogenicity among strains. The analysis of the pathogenicity differentiation of the widely distributed F. solani and F. oxysporum strains revealed that these dominant strains in Hubei were mainly highly pathogenic. This study determined the species, pathogenicity, and distribution of the pathogens causing the root rot of A. lancea in Hubei province. The results provide a scientific basis for further understanding the root rot of A. lancea and its epidemic occurrence and scientifically preventing and controlling this disease.
Plant Diseases/microbiology* ; Atractylodes/microbiology* ; Phylogeny ; Plant Roots/microbiology* ; Fusarium/classification* ; China ; Virulence ; Fungal Proteins/genetics*