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DOI 10.1155/2022/1013241

Медицинская библиотека · Contrast media & molecular imaging · 2022

Application of a Remotely Controlled Artificial Intelligence Analgesic Pump Device in Painless Treatment of Children.

Zhang Fengyang, Wu Shihuan, Qu Meimin, Zhou Li

СтатьяРандомизированное исследованиеОтозванная публикацияПеревод пока не подготовлен
Источник пометил публикацию как отозванную.

Аннотация

In order to effectively improve the application of analgesic pump devices in the treatment of children, a method based on remote control artificial intelligence is proposed. 100 children with dental pulpitis who were treated in a hospital from December 2018 to December 2020 were selected as the research subjects; they were randomly divided into control group and observation group by an equidistant sampling method, with 50 cases in each group. Children in the control group were given articaine and adrenaline anesthesia, and the observation group was treated with articaine and adrenaline combined with a computer-controlled anesthesia system, the anesthesia pain degree and satisfaction degree of the two groups of children were observed and compared. The results showed that the pain score in anesthesia and intraoperative pain score in the observation group was significantly lower than that in the control group, and the differences were statistically significant (P < 0.05). The total satisfaction of 96.6% patients in the observation group was significantly higher than that in the control group (84.7%) and the difference was statistically significant (P < 0.05). There were no serious complications in both groups. The application of the computer anesthesia system combined with articaine adrenaline in the painless treatment of children's dental pulp proved to have better effects, the treatment compliance is higher, and it is worthy of clinical promotion.

Для цитирования: Zhang Fengyang, Wu Shihuan, Qu Meimin, Zhou Li. Application of a Remotely Controlled Artificial Intelligence Analgesic Pump Device in Painless Treatment of Children.. Contrast media & molecular imaging. 2022. DOI: 10.1155/2022/1013241.

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