1.Research on the application of large language models in the diagnosis and treatment decision support for primary diseases related to pediatric liver transplantation
Yuanhao WANG ; Chengpeng ZHONG ; Yuxuan WU ; Kang HE ; Qiang XIA
Organ Transplantation 2026;17(3):444-451
Objective To explore the application value of three mainstream large language models in the diagnosis, differential diagnosis, and treatment decision support of the primary diseases related to pediatric liver transplantation. Methods Seventy-nine cases of pediatric liver transplantation-related diseases diagnosed through pathological or clinical follow-up data were collected from Renji Hospital, Shanghai Jiao Tong University School of Medicine or published high-quality case reports. These cases covered 25 types of primary diseases such as cholestatic liver disease, metabolic diseases, and tumors. Standardized prompts were used to input the case information into the DeepSeek-R1, ChatGPT-4o and Grok-3 models, and the accuracy of their preliminary diagnosis and differential diagnosis based on basic clinical data was evaluated. The final diagnosis accuracy and the response time after supplementary examination were also assessed, as well as the completeness and rationality of their analysis of disease treatment principles. Results In the initial diagnosis and differential diagnosis stage, the comprehensive accuracy of DeepSeek-R1 was the highest [72.1%, 95% confidence interval (CI) 61.4% - 80.8%], and there was a statistically significant difference in the comprehensive accuracy of the three models for initial diagnosis (P = 0.008). After adding further examination information, the final diagnosis accuracy of the three models increased, with DeepSeek-R1 at 88.6% (95% CI 79.7% - 93.9%), ChatGPT-4o at 87.3% (95% CI 78.2% - 93.0%), and Grok-3 at 78.5% (95% CI 68.2% - 86.1%). There was no statistically significant difference among the three models (P = 0.05). The scores given by experts for the treatment principles showed good consistency (Kappa = 0.769). In addition, the response time of ChatGPT-4o is shorter than that of the other two models [(24 ± 7) s]. Conclusions Large language models demonstrate good efficacy in the diagnosis and treatment decision-making process of various pediatric liver diseases, have a good application prospect for auxiliary diagnosis and decision support, and are expected to help improve the accuracy and efficiency of clinical diagnosis and treatment of pediatric liver transplantation-related primary diseases.
2.Expert consensus on precise intervention with repetitive transcranial magnetic stimulation for sleep disorders in the elderly
Yuan SHAO ; Jian WANG ; Wei LIANG ; Yingli ZHANG ; Gangqiang HOU ; Xia LI ; Yi XING ; Lu WANG ; Shi TANG ; Yongjun WANG
Sichuan Mental Health 2026;39(2):97-105
In recent years, repetitive transcranial magnetic stimulation (rTMS) has garnered significant attention as a therapeutic approach for sleep disorders in the elderly. However, the prevailing rTMS protocols are predominantly developed based on normative neurophysiological data derived from young adults and fail to incorporate individualized parameters tailored to the brain characteristics of the elderly. To address this gap, the consensus development group synthesized the latest evidence from 2010 to 2025 and established a standardized rTMS protocol specifically for elderly patients with sleep disorders. Adhering to the Appraisal of Guidelines for Research and Evaluation II (AGREE II) framework, systematically screened randomized controlled trials (RCTs) and systematic reviews regarding rTMS in the treatment of sleep disorders across various conditions. Meanwhile, the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system was employed to rigorously grade the quality of evidence and the strength of recommendations. This consensus guideline delineates precise rTMS protocols for the management of sleep disorders in the elderly, highlights the adjustment of stimulation intensity according to scalp-cortex distance recommends either MRI‑guided neuronavigation or the Beam F3/F4 heuristic approach for accurate target localization, thereby providing precise rTMS intervention protocol for sleep disorders in the elderly, aiming to enhance clinical efficacy while ensuring treatment safety. [Funded by National Key Research and Development Program (number, 2023YFC3603200); General Program of Shenzhen Science and Technology Innovation Commission (number, JCYJ20240813112859008, JCYJ20240813112900002); Youth Program of Shenzhen Kangning Hospital (number, KN2023A004); www.guidelines-registry.cn number, PREPARE-2026CN530]
3.Efficacy and learning curve of three-lobe holmium laser enucleation of the prostate for benign prostatic hyperplasia in county-level hospitals
Yongsheng PAN ; Bo LIU ; Jie JIANG ; Xinchao XIA ; Qianjin WANG ; Asihati REWULI ; Tianle WANG ; Hua ZHU ; Wei XUE ; Bing ZHENG
Journal of Modern Urology 2026;31(3):258-263
Objective To analyze the efficacy, safety, and learning curve of the three-lobe holmium laser enucleation of the prostate(HoLEP)in the treatment of benign prostatic hyperplasia(BPH)in a county-level hospital.Methods A retrospective analysis was conducted on the clinical data of 65 BPH patients who underwent the three-lobe HoLEP performed by a single surgeon at the Department of Urology, Yining County People's Hospital, during Dec.2023 and Jun.2024.The enucleation efficiency was calculated by dividing the weight of the enucleated prostatic tissue by the enucleation time.A case scatter diagram of enucleation efficiency was plotted according to the chronological order of the operations, and the learning curve was analyzed after fitting.Based on the inflection points of the learning curve, the learning process was divided into the initial learning, mastery, and proficiency phases.The basic clinical data, perioperative indicators, postoperative complications, and follow-up indicators were compared among the different learning phases.Results All 65 procedures were successfully completed.Marked by the enucleation efficiency reaching a plateau, cases 1-20 were defined as the initial learning phase, cases 21-40 as the mastery phase, and cases 41 onwards as the proficiency phase.The prostate volume in the proficiency phase was significantly larger than that in the initial learning and mastery phases(both P<0.05).There were no statistically significant differences in other baseline characteristics among the three groups(all P>0.05).The operation time [(105.50±19.12)min vs.(85.25±26.92)min vs.(69.00±23.58)min] and enucleation time [(76.90±14.19)min vs.(63.70±22.24)min vs.(48.80±20.48)min] showed a decreasing trend across the three groups(all P<0.05).The enucleation efficiency in both the mastery and proficiency phases was significantly higher than that in the initial learning phase [(1.16±0.44)g/min vs.(0.85 ±0.25)g/min, P<0.05;(1.36±0.49)g/min vs.(0.85±0.25)g/min, P<0.05].The enucleation efficiency in the proficiency phase was slightly higher than that in the mastery phase, but the difference was not statistically significant(P= 0.389).There was no significant difference in the incidence of perioperative complications among the three groups(all P>0.05).At the 6-month follow-up, the international prostate symptom score(IPSS), post-void residual(PVR), and maximum urinary flow(Qmax)were significantly improved compared to preoperative values in all three groups(all P<0.05);however, no significant differences were observed among the three groups(all P>0.05).Conclusion The three-lobe HoLEP for the treatment of BPH is safe and effective in a county-level hospital setting.Surgeons with some experience in endoscopic surgery can preliminarily master this technique after a learning period of approximately 20 procedures.
4.Modified Laparoscopic Inguinal Lymphadenectomy for Penile Cancer under Guidance of Layer Surgery Concept
Yi XIA ; Yao QIN ; Yuhao ZHANG ; Xinning WANG ; Wei JIAO
Journal of Sun Yat-sen University(Medical Sciences) 2026;47(4):722-729
ObjectiveTo investigate the feasibility and efficacy of modified video-endoscopic inguinal lymphadenectomy (M-VEIL), guided by the layer surgery concept, in reducing postoperative complications in patients with penile cancer. MethodsA retrospective analysis was conducted on 27 patients with penile cancer who underwent bilateral laparoscopic inguinal lymphadenectomy at the Affiliated Hospital of Qingdao University between March 2018 and March 2022. All patients had undergone prior penile surgery. M-VEIL followed a standardized four-step procedure guided by fascial planes to achieve compartment-oriented resection, with deep lymphatic trunks ligated by silk sutures and endoscopic compression suture of the skin to the muscle layer using 4-0 absorbable threads. ResultsPreoperative physical examinations and imaging findings revealed bilateral inguinal lymphadenopathy, and no distant metastases were detected in any patient. Among the 27 patients, 12 underwent traditional video-endoscopic inguinal lymphadenectomy (T-VEIL; mean age 61.08±12.75) years and 15 underwent M-VEIL (mean age 54.47±14.64) years. All 27 operations were successfully completed without conversion to open surgery. No significant differences were observed between the two groups in operative time, intraoperative blood loss, postoperative hospital stay, number of lymph nodes retrieved, or lymph node positivity rate (all P >0.05). Drain removal time was significantly shorter in the M-VEIL group (15.93±6.89 days vs. 23.33±10.42 days; P<0.05). Lymphatic leakage (2 vs. 8 patients) and surgical site infection (1 vs. 6 patients) occurred less frequently in the M-VEIL group (both P <0.05). No significant differences were found in lymphocele, flap necrosis, lymphedema, or lower limb edema between the two groups (all P >0.05). During postoperative follow-up for 1-3 years, 2 patients developed pelvic lymph node metastases, while the remaining 25 showed no evidence of local or pelvic recurrence. ConclusionCompared with T-VEIL, M-VEIL appears to reduce postoperative complications and shorten drain removal time in patients undergoing inguinal lymphadenectomy for penile cancer, while providing favorable clinical outcomes. Preliminary evidence suggests that M-VEIL is a safe and feasible modified procedure.
5.Clinical practice guidelines for intraoperative cell salvage in patients with malignant tumors
Changtai ZHU ; Ling LI ; Zhiqiang LI ; Xinjian WAN ; Shiyao CHEN ; Jian PAN ; Yi ZHANG ; Xiang REN ; Kun HAN ; Feng ZOU ; Aiqing WEN ; Ruiming RONG ; Rong XIA ; Baohua QIAN ; Xin MA
Chinese Journal of Blood Transfusion 2025;38(2):149-167
Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.
6.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
7.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
8.Criteria and prognostic models for patients with hepatocellular carcinoma undergoing liver transplantation
Meng SHA ; Jun WANG ; Jie CAO ; Zhi-Hui ZOU ; Xiao-ye QU ; Zhi-feng XI ; Chuan SHEN ; Ying TONG ; Jian-jun ZHANG ; Seogsong JEONG ; Qiang XIA
Clinical and Molecular Hepatology 2025;31(Suppl):S285-S300
Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.
9.Acupoint thread-embedding therapy of regulating governor vessel, dispersing lung, and suppressing reflux for gastroesophageal reflux cough: a randomized controlled trial.
Mingjie TANG ; Wen LU ; Xiaoni ZHANG ; Jiawei GAO ; Xinchang WEI ; Jin LU ; Jia ZHU ; Yulu FENG ; Lejing JIAO ; Xiaofang XIA ; Zhi ZHOU ; Zhaoming CHEN
Chinese Acupuncture & Moxibustion 2025;45(8):1047-1052
OBJECTIVE:
To observe the clinical efficacy of acupoint thread-embedding therapy of regulating governor vessel, dispersing lung, and suppressing reflux for gastroesophageal reflux cough (GERC).
METHODS:
A total of 120 GERC patients were randomly assigned to an observation group (60 cases, 1 case dropped out) and a control group (60 cases, 1 case was eliminated). The observation group received acupoint thread-embedding treatment at positive response points of governor vessel. If no such points were detected, the following acupoints were used: Dazhui (GV14), Fenghu (Extra), Shendao (GV11), Lingtai (GV10), and Zhiyang (GV9). Treatment was administered once every two weeks. The control group received oral rabeprazole enteric capsules at 20 mg twice daily. All the treatment was given for 6 weeks. Clinical outcomes were assessed using cough symptom score, reflux disease questionnaire (RDQ) score, and Leicester cough questionnaire (LCQ) score before and after treatment in the two groups. Clinical efficacy was also compared between the two groups.
RESULTS:
After treatment, both groups showed decreased cough symptom scores and the each item scores and total scores of RDQ (P<0.001), and increased LCQ scores (P<0.001) compare with those before treatment. The observation group exhibited lower cough symptom score and chest pain, reflux and total score of RDQ, and higher LCQ score compared to those in the control group (P<0.05). The total effective rate in the observation group was 94.9% (56/59), which was higher than 84.7% (50/59) in the control group (P<0.05).
CONCLUSION
Acupoint thread-embedding therapy of regulating governor vessel, dispersing lung, and suppressing reflux could effectively alleviate cough and reflux symptoms in patients with GERC and improve their quality of life.
Humans
;
Acupuncture Points
;
Gastroesophageal Reflux/physiopathology*
;
Male
;
Female
;
Cough/physiopathology*
;
Middle Aged
;
Aged
;
Acupuncture Therapy
;
Adult
;
Treatment Outcome
;
Lung/physiopathology*
;
Meridians
10.Artificial intelligence in prostate cancer.
Wei LI ; Ruoyu HU ; Quan ZHANG ; Zhangsheng YU ; Longxin DENG ; Xinhao ZHU ; Yujia XIA ; Zijian SONG ; Alessia CIMADAMORE ; Fei CHEN ; Antonio LOPEZ-BELTRAN ; Rodolfo MONTIRONI ; Liang CHENG ; Rui CHEN
Chinese Medical Journal 2025;138(15):1769-1782
Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans
;
Prostatic Neoplasms/diagnosis*
;
Male
;
Artificial Intelligence
;
Deep Learning
;
Prognosis

Result Analysis
Print
Save
E-mail