Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*

Objective:To investigate the hemostatic effect of epinephrine saline rinse solution in cleft palate repair.Methods:A total of 100 children who underwent cleft palate repair in the operating room of the Second Affiliated Hospital of Shantou University Medical College from 2018 to 2020 were selected, Among them, 51 were males and 49 females, aged from 6 months to 12 years, with an average (2.5±2.49) years. The patients were divided into two groups according to whether to use epinephrine saline flushing fluid: in group A, 43 cases were treated with adrenaline saline irrigation solution to wash the incision during the operation; gauze soaked in rinse solution was used to fill the oral cavity before endotracheal intubation and extubation after operation; in B group of 57 cases, no intraoperative rinses were used. The intraoperative blood loss and operation duration were compared between the two groups.Results:Intraoperative use in group A after adrenaline saline rinses showed that the intraoperative blood loss of children (16.23±4.88) ml was significantly lower than that of group B (19.26±4.13) ml. The duration of operation in group A (109.79±40.27) min was significantly shorter than that in group B (137.16±50.47) min, The difference was statistically significant ( t=2.92, P<0.05). Conclusions:The incision is rinsed with epinephrine saline solution during cleft palate repair. In addition, before endotracheal intubation and extubation after operation, gauze soaked in rinsing solution is used to fill the oral cavity, which could significantly reduce the amount of bleeding and shorten the operation time.

Objective To design an adjustable frame for four limbs disinfection, and applied it to clinic, to prevent skin damage of eatagmatic limb due to heighten the limb for the preoperative disin-fection.Methods 180 patients who need to heighten limb for diaplasis were divided into the observation group and the control group averagely according to the sequence of operation time.Patients in the observa-tion group were heighten limbs by using the adjustable frame, while the control group were heighten limbs onto the fluid frame by traditional methods.Skin lesions, the contamination of the limb and the time for disinfection were observed.Results Skin lesions of the observation group and the control group were 2% and 20%, re-spectively,the difference was statistically significant.There was no case in the observation group was contami-nated and 16 cases were contaminated in the control group, the difference was statistically significant.The aver-age time for disinfection in the observation group was (17.6 ± 2.4)minutes, in the control group,(21.3 ± 3.2) minutes, the difference was also statistically significant.Conclusions Using the adjustable frame for limbs disinfection can reduce the skin damage, shorten the disinfection time and improve work efficiency.