With the rapid development of critical care medicine (CCM), the particularity and professionalism of critical clinical thinking has become increasingly apparent. To grasp critical clinical thinking quickly and accurately is a key and difficult point in clinical training for young doctors. The CCM team of Peking Union Medical College Hospital summarized the CITE(Case characteristic, Index, Target, Execute) mode of ward rounds. This mode integrated the training of critical clinical thinking into daily bedside rounds and tried to rapidly develop the ability of critical clinical thinking of the young doctors and to achieve continuous and high-quality medical services.

Generative artificial intelligence (GAI) represents a prominent research focus in medicine, with medical education being a key application area. GAI demonstrates potential to enhance residency training efficacy through personalized instruction, automated assessment item generation, question bank updating, and intelligent scoring systems. However, current limitations exist regarding output accuracy and content consistency. To address these constraints, strategic measures are required: continuous GAI model refinement, development of standardized usage guidelines, enhanced data quality control, and implementation of human verification protocols for generated content. Concurrently, residents should proactively acquire GAI utilization skills to strengthen the practical application of theoretical knowledge. With these advancements, GAI is anticipated to evolve into a valuable asset for improving the efficiency and quality of residency training programs.

The application of various bedside imaging monitoring techniques in critical care department makes the necessity of imaging ward round increasingly prominent. In terms of medical treatment, it is beneficial to increase the accuracy of intervention, improve the consistency of team working mode, and enhance the level of individualized and organ-targeted treatment. In terms of teaching, it helps to deepen the understanding of the physiological mechanism of diseases, promote the cultivation of critical clinical thinking, and improve the use of the monitoring equipment. In the aspect of scientific research, it facilitates the summary of image data and the development of scientific research ideas. At the same time, it is necessary to pay attention to data security, patient privacy and limitations of imaging data when ward rounds are conducted.