Objective To analyze the research hotspots and development trends of artificial intelligencein the field of organ transplantation. Methods Literatures on the application of artificial intelligence inthe field of organ transplantation from January 2004 to June 2024 were retrieved from the Web of ScienceCore Collection and China National Knowledge Infrastructure database. CiteSpace 6.2.R6 software was used for visual analysis. Results A total of 728 relevant literatures were retrieved，559 English literatures and 143 Chinese literatures were included after screening. The number of literatures published in the early stage was small，while the number of literatures published in recent years has increased significantly. The country with the largest number of articles was the United States，followed by China. The top three institutions in terms of foreignpublications were Mayo Clinic，University of Toronto and Harvard University. Zhejiang University，Peking UnionMedical College and the First Affiliated Hospital of Sun Yat-sen University were the most active institutions in China. The authors who have published the most articles in English were Cheungpasitporn Wisit and Thongprayoon Charat，and the author who has published the most articles in Chinese was Ren Bin. The main high-frequency keywords in English were machine learning，survival，artificial intelligence，liver transplantation，kidney transplantation，mortality，risk，model，outcome and deep learning. The main high-frequency keywords in Chinese were machine learning， liver transplantation， kidney transplantation， deep learning， artificial intelligence， hepatocellular carcinoma，radiomics，liver cancer，prognosis and tacrolimus. The first emergent keywords in English were artificial neural networks，data mining and survival analysis，and the most recent were predictive model and kidney transplant. The first emergent keywords in Chinese were neural networks，cyclosporine A，and blood concentration，and the most recent were deep learning and machine learning. Conclusion The application of artificial intelligence in thefield of organ transplantation is increasing significantly. The use of machine learning and deep learning to construct prediction models and to analyze the survival of various organ transplantation patients is a current research hotspots. In the future，exchanges and cooperation between countries and disciplines can be strengthened to promote the study and application of advanced AI technologies，so as to further promote the development of this field. 

Objective To explore the effect of the holistic care on the quality of life assessment systemin patients with postoperative infection after kidney transplantation. Methods The clinical data of 92 patients with infection after renal transplantation in our hospital from January 2017 to December 2017, were analysed retrospectively. The patients were divided into nursing group（observation group）and routine nursing（controlgroup），according to different nursing plans，each group has 46 patients. The nursing quality were compared between the two groups，mainly on the scores of the nursing quality，survival quality score，anxiety score，compliance evaluation，physical comfort，environmental comfort ratings，and patient satisfaction. Results The comprehensive nursing quality（education，nursing attitude，nursing skills，ward management）in the observation group were significantly higher than that in the control group，and the difference were statistically significant（χ2 ＝ 14.286，P ＝ 0.003 ；χ2 ＝ 16.331，P ＝ 0.003 ；χ2 ＝ 19.247，P ＝ 0.002 ；χ2 ＝ 18.295，P ＝ 0.003）. The survival quality score in the observation group was significantly higher than that in thecontrol group，and the difference was statistically significant（t ＝ 4.672，P ＝ 0.002）. Anxiety scores in the observation group were significantly lower than that in the control group，and the difference was statistically significant（t ＝ -4.855，P ＝ 0.003）.The compliance score，physiological comfort score and environmental comfortscore in the observation group were significantly higher than those in the control group，and the difference werestatistically significant（t ＝ -19.218，P ＝ 0.002 ；t ＝ -14.821，P ＝ 0.003 ；t ＝ -16.115，P ＝ 0.002）.Nursing satisfaction in observation group was significantly higher than that in control group，and the difference was statistically significant（χ2 ＝ 4.873，P ＝ 0.001）Conclusion “The holistic care”intervention could reduce the psychologicalburden of patients and their families as well as relieve the pain on the body，mind and spirit in all aspects. This method could also improve the quality of patients' lives along with the quality of nursing work. It has important guidingsignificance for clinical management of infection after renal transplantation and related nursing work.

Objective To study the treatment of patients with acute respiratory distress syndrome（ARDS） caused by cytomegalovirus（CMV）pneumonia after renal transplantation. Methods A retrospective analysis of21 patients with ARDS caused by CMV pneumonia after renal transplantation in 4 years in the hospital was doneThe general situation，treatment and clinical outcomes were summarized and analyzed. All the 21 patients were treated with antiviral therapy，decreased the dosage of immunosuppressant，supported with active whole body supporttherapy，and applied with timely ventilation. Results In the 21 patients，the treatment of 16 cases was effectiveThree cases experience respiratory failure and died after active treatment. Two cases died after discharge not suggested by medical staff. The effective rate was 76.19%. All CMV antigen in peripheral blood turned negative after treatment. Of the 16 cases survived，12 cases experienced oliguria，serum creatinine（SCr）increased. Pulmonary function wasrecovered and SCr was gradually returned to normal along with the control of infection. The renal function of other4 cases remained normal. Conclusion CMV pneumonia accompanied ARDS should be treated by antiviral therapy，withdrawal of immuno-suppressant drugs，rebuild the body's immunity function，and timely application ofventilation, which are helpful to improve the successful remedy rate.