Objective:To evaluate the performance of three mainstream large language models (LLMs) in the review of drug reimbursement indications in hospitals, and to explore their potential in improving audit quality and efficiency, thereby safeguarding the medical insurance fund.Methods:A total of 3 247 outpatient prescription records were retrospectively collected from a specialized oncology hospital between January 2, 2022, and June 30, 2023. Manual assessment of the consistency between clinical diagnoses and drug reimbursement indications was used as the gold standard. Three LLMs, Baidu′s ERNIE Bot, Alibaba′s Tongyi Qianwen, and OpenAI′s ChatGPT-4o, were evaluated on the same task. Performance metrics included accuracy, precision, sensitivity, specificity, F1 score, and area under the curve (AUC).Results:The ERNIE Bot model returned 3 242 valid data, which took 314 min; The Tongyi Qianwen model returned a total of 3 162 valid data, taking 384 min; The ChatGPT-4o model returned a total of 3 218 valid data, taking 150 min. ChatGPT-4o demonstrated the best performance, with an accuracy of 88.41%, precision of 60.48%, sensitivity of 78.75%, specificity of 90.24%, F1 score of 0.68, and an AUC of 0.88.Conclusions:LLMs demonstrate stable performance in determining whether prescriptions align with reimbursement indications, with ChatGPT-4o approaching human-level accuracy and exhibiting more conservative specificity. These findings suggest that LLMs have practical value as auxiliary tools in drug indication reviews, contributing to improved audit efficiency and more refined management of medical insurance funds.

Depression is a mental disorder char-acterized by mood disturbances that pose a signifi-cant threat to human mental and physical health.In recent years,the farnesoid X receptor(FXR)has been found to be expressed in brain regions such as the hippocampus and is closely related to the onset of depression.It can also affect the down-stream target cAMP response element binding pro-tein(CREB)-brain-derived neurotrophic factor(BDNF)signaling pathway,holding promise as a new target for the treatment of depression.This ar-ticle analyzes how hippocampal FXR regulates the CREB-BDNF signaling pathway and summarizes the latest research progress related to the pathogene-sis of depression,with the aim of providing precise targeted ideas for the drug development and clini-cal treatment of depression.

Acupuncture and moxibustion have their unique advantages in treating tumors,but the theoretical framework of acupuncture and moxibustion intervention in tumors needs to be improved,and the academic system still needs to be sorted out.In this paper,we try to describe the commonalities between Chinese medical theories and modern medical technologies in order to consolidate the theoretical foundation of acupuncture intervention in tumor.Specifically:① Acupuncture regulates immune function and energy metabolism,which is a specific form of tonifying the spleen and stomach to support positive qi.② Tumors belong to the broad definition of"sores and ulcers"in traditional Chinese medicine,which is a special kind of chronic inflammation,and acupuncture intervenes in tumors by intervening in inflammatory reactions from ulcers.③ Tumor is a"dynamic pseudo-organ"with yin and yang attributes and"life attributes".Acupuncture and moxibustion can regulate various cells and factors in the tumor environment in a multi-targeted way,so as to make it tend to the state of yin and yang equilibrium.④ Acupuncture and moxibustion have unique advantages in the reduction of toxicity,enhancement of efficacy,tonicity,rejuvenation,treatment of complications,etc.,which complement the allopathic therapies of modern medicine,and can help to realize survival with tumors.

Objective To analyze the research status,hot directions and frontier trends of traditional Chinese medicine in the prevention and treatment of diseases by regulating Notch signaling pathway based on bibliometrics.Methods Based on Citespace and Vosviewer,the literature on the regulation of Notch signaling pathway by traditional Chinese medicine in CNKI and WoSCC was visually analyzed.Results 362 and 85 related literatures were published in Chinese and English respectively until January 2024.Since 2013,the number of literatures published in this field has shown a fluctuating increasing trend.China is the country with the most publications;Hunan University of Chinese Medicine were the institutions with the most publications in the Chinese database,and Beijing University of Chinese Medicine was the institution with the most publications in the English literature database.Combined with the research direction of each research team and keyword clustering and burst analysis,the research hotspots of traditional Chinese medicine regulating Notch signaling pathway are focused on cerebral ischemia,myelosuppression and hepatic fibrosis.Diseases such as Asthma,colorectal cancer have become emerging research directions in recent years.Electroacupuncture therapy to promote stem cell proliferation and treat neurological diseases is one of the frontier research trends in this field.Conclusion Recent years have seen a rapid development of traditional Chinese medicine's disease prevention and treatment that targets Notch signaling pathway.Various expert teams have obtained rich research results,and the research hotspots show a diversified trend.In-depth exploration of this can provide strong evidence for the molecular mechanism of traditional Chinese medicine in the treatment of various diseases.

Depression is a mental disorder char-acterized by mood disturbances that pose a signifi-cant threat to human mental and physical health.In recent years,the farnesoid X receptor(FXR)has been found to be expressed in brain regions such as the hippocampus and is closely related to the onset of depression.It can also affect the down-stream target cAMP response element binding pro-tein(CREB)-brain-derived neurotrophic factor(BDNF)signaling pathway,holding promise as a new target for the treatment of depression.This ar-ticle analyzes how hippocampal FXR regulates the CREB-BDNF signaling pathway and summarizes the latest research progress related to the pathogene-sis of depression,with the aim of providing precise targeted ideas for the drug development and clini-cal treatment of depression.

Objective To analyze the research status,hot directions and frontier trends of traditional Chinese medicine in the prevention and treatment of diseases by regulating Notch signaling pathway based on bibliometrics.Methods Based on Citespace and Vosviewer,the literature on the regulation of Notch signaling pathway by traditional Chinese medicine in CNKI and WoSCC was visually analyzed.Results 362 and 85 related literatures were published in Chinese and English respectively until January 2024.Since 2013,the number of literatures published in this field has shown a fluctuating increasing trend.China is the country with the most publications;Hunan University of Chinese Medicine were the institutions with the most publications in the Chinese database,and Beijing University of Chinese Medicine was the institution with the most publications in the English literature database.Combined with the research direction of each research team and keyword clustering and burst analysis,the research hotspots of traditional Chinese medicine regulating Notch signaling pathway are focused on cerebral ischemia,myelosuppression and hepatic fibrosis.Diseases such as Asthma,colorectal cancer have become emerging research directions in recent years.Electroacupuncture therapy to promote stem cell proliferation and treat neurological diseases is one of the frontier research trends in this field.Conclusion Recent years have seen a rapid development of traditional Chinese medicine's disease prevention and treatment that targets Notch signaling pathway.Various expert teams have obtained rich research results,and the research hotspots show a diversified trend.In-depth exploration of this can provide strong evidence for the molecular mechanism of traditional Chinese medicine in the treatment of various diseases.

Acupuncture and moxibustion have their unique advantages in treating tumors,but the theoretical framework of acupuncture and moxibustion intervention in tumors needs to be improved,and the academic system still needs to be sorted out.In this paper,we try to describe the commonalities between Chinese medical theories and modern medical technologies in order to consolidate the theoretical foundation of acupuncture intervention in tumor.Specifically:① Acupuncture regulates immune function and energy metabolism,which is a specific form of tonifying the spleen and stomach to support positive qi.② Tumors belong to the broad definition of"sores and ulcers"in traditional Chinese medicine,which is a special kind of chronic inflammation,and acupuncture intervenes in tumors by intervening in inflammatory reactions from ulcers.③ Tumor is a"dynamic pseudo-organ"with yin and yang attributes and"life attributes".Acupuncture and moxibustion can regulate various cells and factors in the tumor environment in a multi-targeted way,so as to make it tend to the state of yin and yang equilibrium.④ Acupuncture and moxibustion have unique advantages in the reduction of toxicity,enhancement of efficacy,tonicity,rejuvenation,treatment of complications,etc.,which complement the allopathic therapies of modern medicine,and can help to realize survival with tumors.

Objective:To evaluate the performance of three mainstream large language models (LLMs) in the review of drug reimbursement indications in hospitals, and to explore their potential in improving audit quality and efficiency, thereby safeguarding the medical insurance fund.Methods:A total of 3 247 outpatient prescription records were retrospectively collected from a specialized oncology hospital between January 2, 2022, and June 30, 2023. Manual assessment of the consistency between clinical diagnoses and drug reimbursement indications was used as the gold standard. Three LLMs, Baidu′s ERNIE Bot, Alibaba′s Tongyi Qianwen, and OpenAI′s ChatGPT-4o, were evaluated on the same task. Performance metrics included accuracy, precision, sensitivity, specificity, F1 score, and area under the curve (AUC).Results:The ERNIE Bot model returned 3 242 valid data, which took 314 min; The Tongyi Qianwen model returned a total of 3 162 valid data, taking 384 min; The ChatGPT-4o model returned a total of 3 218 valid data, taking 150 min. ChatGPT-4o demonstrated the best performance, with an accuracy of 88.41%, precision of 60.48%, sensitivity of 78.75%, specificity of 90.24%, F1 score of 0.68, and an AUC of 0.88.Conclusions:LLMs demonstrate stable performance in determining whether prescriptions align with reimbursement indications, with ChatGPT-4o approaching human-level accuracy and exhibiting more conservative specificity. These findings suggest that LLMs have practical value as auxiliary tools in drug indication reviews, contributing to improved audit efficiency and more refined management of medical insurance funds.

Bone Transplantation/adverse effects* ; Transplantation, Autologous/adverse effects*

China has become the world's second largest consumer market for cosmetics. The rapid development of the cosmetics industry requires that its regulatory management and standard and regulation also need to keep pace with the times and constantly improve. This paper compares domestic and foreign standards for skin sensitisation test, skin phototoxicity test and skin photoallergy test, and analysis the specific problems of the current standards and make recommendations.