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Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty
Sheng-Xiong Tong1, Ren-Song Li2, Dan Wang3
1Department of Pain Management, Wuhan First Hospital, Wuhan 430033, Hubei Province, China.
Background:
Knee diseases are more common in middle-aged and elderly people, so artificial knee replacement is also more used in middle-aged and elderly people. Although the patient's pain can be reduced through surgery, often accompanied by moderate pain after surgery and neutralization, which not only increases the psychological burden of the patient, but also greatly reduces the postoperative recovery effect, and may also lead to the occurrence of postoperative adverse events in severe cases.
Aim:
To investigate the analgesic effect of artificial intelligence (AI) and ultrasound-guided nerve block in total knee arthroplasty (TKA).
Methods:
A total of 92 patients with TKA admitted to our hospital from January 2021 to January 2022 were opted and divided into two groups according to the treatment regimen. The control group received combined spinal-epidural anesthesia. The research group received AI technique combined with ultrasound-guided nerve block anesthesia. The sensory block time, motor block time, visual analogue scale (VAS) at different time points and complications were contrasted between the two groups.
Results:
The time of sensory block onset and sensory block perfection in the research group was shorter than those in the control group, but the results had no significant difference (P > 0.05). Duration of sensory block in the research group was significantly longer than those in the control group (P < 0.05). The time of motor block onset and motor block perfection in the research group was shorter than those in the control group, but the results had no significant difference (P > 0.05). Duration of motor block in the research group was significantly longer than those in the control group. The VAS scales of the research group were significantly lower than that of the control group at different time points (P < 0.05). The postoperative hip flexion and abduction range of motion in the research group were significantly better than those in the control group at different time points (P < 0.05). The incidence of complications was significantly lower in the research group than in the control group (P = 0.049).
Conclusion:
In TKA, the combination of AI technology and ultrasound-guided nerve block has a significantly effect, with fewer postoperative complications and significantly analgesic effect, which is worthy of application.
