Objective To summarize the current research status of artificial intelligence (AI) in burn diagnosis and treatment, and to anticipate its future development direction. Methods Research literature on the application of AI in burn diagnosis and treatment both domestically and internationally in recent years was reviewed. The progress of AI application in various stages of burn diagnosis and treatment was summarized, and the challenges in its clinical application were analyzed. Results AI has demonstrated its value in improving diagnosis and treatment efficiency and prediction accuracy in multiple aspects, including burn wound diagnosis and severity assessment, perioperative decision making and precise intervention, personalized rehabilitation, and prognosis prediction. However, it also faces challenges related to data, models, and clinical translation. Conclusion AI exhibits significant potential in burn diagnosis and treatment. In the future, it is necessary to address existing challenges such as the scarcity of data, privacy risks, insufficient interpretability, and clinical translation barriers, and promote its application in clinical practice.
Objective To investigate the effect of Adenovirus-mediated averse vascular endothelial growth factor165（Ad-aVEGF165）on the growth of human melanoma cells(A375) in vivo and in vitro.Methods In vitro,the 100 multiplicity of infection of Aadenovirus-mediated green fluorescent protein（Ad-GFP）and Ad-aVEGF165 were transfected into human endothelium cell of vessel 304（ECV 304） and A 375. ECV 304 cells were divided into 3 groups: A 375 group, AdGFP group and AdaVEGF 165group. A375cells were also divided into 3 groups:1640 group, Ad-GFP group and AdaVEGF165 group. Their effects were analyzed by proliferation assay, cell cycle, and VEGF expression. In vivo,A375cells were injected into the axilla of the nude mouse. When the tumor formed, they were transplanted into another 15 mice. After treatment, the tumor was excised for naked eye observation, HE observation and microvascular density(MVD) counting. Results The cell supernatant fluid of A 375 group and AdGFP group could stimulate ECV304 cell growth，butthat of AdaVEGF165 group could inhibit the growth of ECV304 cell.All the A375cells in 3 groups had the proliferation trend, showing no statistically significant difference（Pgt;0.05）. ECV 304 cell proliferation index(PI) in Ad-aVEGF165group reduced（Plt;0.05）. There was no statistically significant difference（Pgt;0.05） in the PI of A 375 cell. The A 375cell integral optical densities were 234.41±13.8 in 1640 group， 222.73±3.67 in AdGFP group and 180.84±6.34 in Ad-aVEGF165group. The tumor volume in Ad-aVEGF165 group was smaller than that in Ad-GFP group and PBS group at 2 weeks after operation, the trend became much obvious with the time delay. AdaVEGF165 brought to much tissue necrosis under HE stain. The MVD of PBS group, Ad-GFP group and Ad-aVEGF165group were 65 10/view,52±11/view and 30±6/view, respectively. Conclusion In Vitro, Ad-VEGF 165gene could inhibited ECV304 cells’ growth by weakening VEGF expression of A 375cells. In vivo, Ad-aVEGF 165could inhibit the growth of human melanoma from blockinmicrovascular.