Objective:To explore the application and teaching effect of artificial intelligence (AI) image recognition education system in standardized training on ultrasound-guided nerve block technique for novice anesthesiology residents.Methods:Forty residents trained in the Department of Anesthesiology of Cancer Hospital of Chinese Academy of Medical Sciences and the Department of Anesthesiology of the Affiliated Hospital of Qingdao University from January 2023 to December 2023 were selected as study subjects, and randomly divided into experimental group (teaching with the AI image recognition education system) and control group (traditional teaching) to undergo training and assessments on the nerve block technique, with 20 residents in each group. The training quality for the two groups was assessed by comparing the clinical practice score, teaching effect evaluation, and teaching quality evaluation. SPSS 23.0 software was used for the t-test and chi-square test on data. Results:Compared with the control group, residents in the experimental group had higher clinical practice scores [(4.65±0.49) vs. (3.60±0.75), P<0.001] and better method mastery [(17.45±1.23) vs. (13.85±1.27), P<0.001], satisfaction with clinical operation [(16.70±1.34) vs. (13.95±1.00), P<0.001], and learning enthusiasm [(17.35±1.50) vs. (13.55±0.94), P<0.001] for the ultrasound-guided nerve block technique. The teaching quality score of the experimental group was higher than that of the control group [(17.30±1.59) vs. (14.25±1.68), P<0.001]. Therefore, the training quality of residents in the experimental group was better than that of the control group. Conclusions:The application of AI image recognition education system in standardized training on the ultrasound-guided nerve block technique improves the teaching quality of teachers, enhances the learning effect of novice anesthesiology residents, and mobilizes learning enthusiasm, which is worthy of further promotion and application.

Objective:To explore the application and teaching effect of artificial intelligence (AI) image recognition education system in standardized training on ultrasound-guided nerve block technique for novice anesthesiology residents.Methods:Forty residents trained in the Department of Anesthesiology of Cancer Hospital of Chinese Academy of Medical Sciences and the Department of Anesthesiology of the Affiliated Hospital of Qingdao University from January 2023 to December 2023 were selected as study subjects, and randomly divided into experimental group (teaching with the AI image recognition education system) and control group (traditional teaching) to undergo training and assessments on the nerve block technique, with 20 residents in each group. The training quality for the two groups was assessed by comparing the clinical practice score, teaching effect evaluation, and teaching quality evaluation. SPSS 23.0 software was used for the t-test and chi-square test on data. Results:Compared with the control group, residents in the experimental group had higher clinical practice scores [(4.65±0.49) vs. (3.60±0.75), P<0.001] and better method mastery [(17.45±1.23) vs. (13.85±1.27), P<0.001], satisfaction with clinical operation [(16.70±1.34) vs. (13.95±1.00), P<0.001], and learning enthusiasm [(17.35±1.50) vs. (13.55±0.94), P<0.001] for the ultrasound-guided nerve block technique. The teaching quality score of the experimental group was higher than that of the control group [(17.30±1.59) vs. (14.25±1.68), P<0.001]. Therefore, the training quality of residents in the experimental group was better than that of the control group. Conclusions:The application of AI image recognition education system in standardized training on the ultrasound-guided nerve block technique improves the teaching quality of teachers, enhances the learning effect of novice anesthesiology residents, and mobilizes learning enthusiasm, which is worthy of further promotion and application.

Sepsis is a complex syndrome caused by multiple pathogens and involves multiple organ failure, particularly spleen dysfunction. In 2017, the worldwide incidence was 48.9 million sepsis cases and 11 million sepsis-related deaths were reported (Rudd et al., 2020). Inflammation, oxidative stress, and apoptosis are the most common pathologies seen in sepsis. Liensinine (LIE) is a bisbenzylisoquinoline-type alkaloid extracted from the seed embryo of Nelumbo nucifera. Lotus seed hearts have high content of LIE which mainly has antihypertensive and antiarrhythmic pharmacological effects. It can exert anti-carcinogenic activity by regulating cell, inflammation, and apoptosis signaling pathways (Manogaran et al., 2019). However, its protective effect from sepsis-induced spleen damage is unknown. In this research, we established a mouse sepsis model induced by lipopolysaccharide (LPS) and investigated the protective effects of LIE on sepsis spleen injury in terms of inflammatory response, oxidative stress, and apoptosis.
Mice ; Animals ; Lipopolysaccharides/pharmacology* ; Spleen ; Inflammation ; Apoptosis ; Sepsis ; Oxidative Stress