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To explore the application value of accelerated rehabilitation surgery (ERAS) nursing in laparoscopic total hysterectomy, 120 patients who underwent laparoscopic total hysterectomy for benign uterine diseases in the hospital were selected as the research object. According to different nursing schemes, they were divided into 60 cases in the experimental group (ERAS nursing program) and 60 cases in the control group (traditional perioperative nursing). All patients underwent postoperative ultrasonography, and the intraoperative and postoperative rehabilitation indexes of the two groups were analyzed. Moreover, an improved standard Capon beamforming (ISCB) algorithm is proposed, which is compared with SCB algorithm, sequential regression algorithm (SER), and recursive least square (RLS) algorithm. The results showed that the center average power and background average power (−46.92, −33.85) of the ISCB algorithm were significantly lower than those of SCB algorithm (−36.18, −23.64), SER algorithm (−39.02, −27.31), and RLS algorithm (−34.88, −24.66), while the contrast and resolution (19.11, 15.57) were significantly higher than those of SCB algorithm (12.74, 9.01), SER algorithm (13.86, 7.89), and RLS algorithm (13.26, 8.26)  P &lt; 0.05 . The anal exhaust time (11.84 ± 2.15 hours), analgesic effect score (3.37 ± 1.03 points), hospitalization days (3.72 ± 0.74 days), and hospitalization expenses (11859.03 ± 735.24 ¥) in the experimental group were significantly lower than those in the control group (20.95 ± 3.44 hours, 6.12 ± 1.46 points, 5.48 ± 0.91 days, 16135.22 ± 680.55 ¥)  P &lt; 0.05 . The score of NRS evaluation scale in the experimental group (2.28 ± 0.37) was significantly better than that in the control group (4.09 ± 0.65)  P &lt; 0.05 . The proportion of patients in the experimental group (very satisfied + satisfied + generally satisfied) (100%) was significantly better than that in the control group (71%), and the difference was statistically significant  P &lt; 0.05 . In the experimental group, there were 2 cases of postoperative fever, 1 case of nausea and vomiting, and 2 cases of lower extremity venous thrombosis. In the control group, there were 4 cases of postoperative fever, 4 cases of nausea and vomiting, and 2 cases of lower extremity venous thrombosis. In summary, ultrasound imaging based on the ISCB algorithm can display the pelvic floor structure of patients undergoing laparoscopic total hysterectomy with high quality and improve the diagnostic rate of doctors. ERAS nursing can accelerate patients’ postoperative rehabilitation, reduce postoperative pain, and improve patients’ satisfaction. It was worthy to be popularized and applied in the clinic.

computational intelligence and neuroscience

Ultrasound Image under Artificial Intelligence Algorithm to Evaluate the Intervention Effect of Accelerated Rehabilitation Surgery Nursing on Laparoscopic Hysterectomy