Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Coronavirus disease 2019 (COVID-19) is now pandemic worldwide and has heavily overloaded hospitals in Wuhan City, China during the time between late January and February. We reported the clinical features and therapeutic characteristics of moderate COVID-19 cases in Wuhan that were treated via the integration of traditional Chinese medicine (TCM) and Western medicine. We collected electronic medical record (EMR) data, which included the full clinical profiles of patients, from a designated TCM hospital in Wuhan. The structured data of symptoms and drugs from admission notes were obtained through an information extraction process. Other key clinical entities were also confirmed and normalized to obtain information on the diagnosis, clinical treatments, laboratory tests, and outcomes of the patients. A total of 293 COVID-19 inpatient cases, including 207 moderate and 86 (29.3%) severe cases, were included in our research. Among these cases, 238 were discharged, 31 were transferred, and 24 (all severe cases) died in the hospital. Our COVID-19 cases involved elderly patients with advanced ages (57 years on average) and high comorbidity rates (61%). Our results reconfirmed several well-recognized risk factors, such as age, gender (male), and comorbidities, as well as provided novel laboratory indications (e.g., cholesterol) and TCM-specific phenotype markers (e.g., dull tongue) that were relevant to COVID-19 infections and prognosis. In addition to antiviral/antibiotics and standard supportive therapies, TCM herbal prescriptions incorporating 290 distinct herbs were used in 273 (93%) cases. The cases that received TCM treatment had lower death rates than those that did not receive TCM treatment (17/273 = 6.2% vs. 7/20= 35%, P = 0.0004 for all cases; 17/77= 22% vs. 7/9= 77.7%, P = 0.002 for severe cases). The TCM herbal prescriptions used for the treatment of COVID-19 infections mainly consisted of Pericarpium Citri Reticulatae, Radix Scutellariae, Rhizoma Pinellia, and their combinations, which reflected the practical TCM principles (e.g., clearing heat and dampening phlegm). Lastly, 59% of the patients received treatment, including antiviral, antibiotics, and Chinese patent medicine, before admission. This situation might have some effects on symptoms, such as fever and dry cough. By using EMR data, we described the clinical features and therapeutic characteristics of 293 COVID-19 cases treated via the integration of TCM herbal prescriptions and Western medicine. Clinical manifestations and treatments before admission and in the hospital were investigated. Our results preliminarily showed the potential effectiveness of TCM herbal prescriptions and their regularities in COVID-19 treatment.
Adult ; Aged ; Aged, 80 and over ; COVID-19/therapy* ; China ; Combined Modality Therapy ; Drugs, Chinese Herbal/therapeutic use* ; Female ; Hospitalization ; Humans ; Male ; Medicine, Chinese Traditional ; Middle Aged ; Retrospective Studies ; Survival Rate ; Treatment Outcome

Objective: To explore the prescription rules in treating liver cirrhosis's based on poison phlegm blood stasis and deficiency. Method: Clinical data of patients, who had been diagnosed with liver cirrhosis, was gathered. The data had been extracted, transformed and loaded through data integration and remittance, then, the data was analyzed by data classification, association, clustering and other large data analysis methods. Results: The prescription rules based on poison phlegm blood stasis and deficiency showed that according to medication frequency, detoxification drugs commonly used ArtemisiacapillarisThunb, Coptis chinensis Franch, Forsythia suspensa, Hedyotis diffusa Willd, and Scutellaria baicalensis Georgi, eliminating phlegm drugs commonly used Semen Coicis, Citrus aurantium L, Pinellia ternate, Pericarpium Citri Reticulatae and Trichosanthes kirilowii Maxim, removeing blood stasis drugs commonly used Radix Salviae Miltiorrhiae, Radix Curcumae, Rhizoma Curcumae, Herba Lycopi and Pollen Typhae, reinforcing deficiency drugs commonly used Poria, Carapax Trionycis, Rhizoma Atractylodis Macrocephalae, Radix Astragali seu Hedysari and Radix Codonopsis (Radix Pseudostellariae) . The selection of herbal medicine for poison in traditional Chinese medicine (TCM) is not only cold in property, bitter in flavor, but also converges to liver, gallbladder, spleen and stomach channel.The selection of herbal medicine for phlegm in TCM is not only warm in property, pungent in flavor, but also converges to spleen and lung channel. The selection of herbal medicine for blood stasis in TCM is not only cold in property, bitter in flavor, but also converges to liver, heart and spleen channel. The selection of herbal medicine for deficiency in TCM is not only mild in property, sweet in flavor, but also converges to spleen, liver and kidney channel. Conclusion: The syndrome differentiation and treatment of liver cirrhosis in Liver Institute of Hubei Provincial Hospital of Traditional Chinese are mainly based on poison phlegm blood stasis and deficiency.

This study was aimed to analyze the compatibility principles of herbs for the treatment of jaundice with the method of association rule,and to provide reference for tradition Chinese medicine (TCM) diagnosis and treatment of jaundice.A total of 3404 prescription data of inpatient medical records for the diagnosis of jaundice from 1960 to 1978 were recorded and processed.Then,herbs with high frequency were identified and analyzed the compatibility principles of herbs by Apriori algorithm.The results showed that from 3 404 prescriptions,there were 327 kinds of different herbs,with the average of 10 to 12 herbs in one prescription.From the herb frequency results,we found that the frequency of the top 50 herbs benefits of dieresis and dampness-removing medicine,heat-clearing medicine,deficiency-reinforcing medicine,qi-regulating medicine,blood stasis removing medicine,food stagnation removing medicine,dampnessremoving medicine,purgative medicine,phlegm-removing medicine,and etc.In addition,we identified 27 drug pairs (the associations of 2 herbs) and 24 angle drug pairs (the associations of 3 herbs).It was concluded that the application of association rules to analyze the law of jaundice medication which reflected the treatment experience of jaundice in this period.It can provide a new idea for the further research.It can also provide a way of thinking for our further study.